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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

Vehicle Technologies Office Merit Review 2014: Emissions Modeling...  

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

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

2

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

3

Vehicle Emissions Review - 2012  

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

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

4

Using Local and Regional Air Quality Modeling and Source Apportionment Tools to Evaluate Vehicles and Biogenic Emission Factors  

E-Print Network (OSTI)

and inventories of CO, NO_(x) and VOCs from on-road vehicles estimated by vehicle emission factor models and biogenic emissions of isoprene estimated by a popular biogenic emission model are evaluated using local and regional scale air quality modeling and source...

Kota, Sri H

2014-07-25T23:59:59.000Z

5

A model to evaluate vehicle emission incentive policies in Japan  

Science Journals Connector (OSTI)

Using 3years of data from the 47 prefectures of Japan, we estimate the behavior of households that simultaneously make discrete decisions about vehicle...

Don Fullerton; Li Gan; Miwa Hattori

2014-07-01T23:59:59.000Z

6

Vehicle Technologies Office Merit Review 2014: Emissions Modeling: GREET Life Cycle Analysis  

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

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

7

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

8

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)

9

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

10

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

11

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

12

Vehicle Emissions Review - 2011  

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

Emissions Review - 2011 (so far) Tim Johnson October 4, 2011 DOE DEER Conference, Detroit JohnsonTV@Corning.com 2 Summary * California LD criteria emission regs are tightening....

13

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

14

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

15

Water Emissions from Fuel Cell Vehicles | Department of Energy  

Energy Savers (EERE)

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

16

Well-to-wheel Energy Consumption and Pollutant Emissions Comparison between Electric and Non-electric Vehicles: a Modeling Approach  

Science Journals Connector (OSTI)

Although electric vehicles (EVs) gain more and more popularity these years, the issue on whether they are really more environmentally and ecologically sound than non-electric vehicles, e.g. gasoline and diesel fuel burned internal combustion engine (ICE) vehicles has become a heat-debated one. This paper outlines an assessment model which intends to compare well-to-wheel energy consumption and pollutant emissions between \\{EVs\\} and non-electric ones, using Analytic Hierarchy Process (AHP) technique based on the potential environmental and ecological impact. The modeling in this case predicted that from the perspective of total energy consumption and pollution, further improvements are still necessary for the feasibility and widespread use of EVs.

Z.J. Li; X.L. Chen; M. Ding

2012-01-01T23:59:59.000Z

17

Vehicle Emissions Review - 2011 | Department of Energy  

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

NOx control, diesel oxidation catalysts, gasoline particulate filters deer11johnson.pdf More Documents & Publications Vehicle Emissions Review - 2012 Diesel Emission...

18

Exhaust emissions from heavy-duty vehicles  

Science Journals Connector (OSTI)

Exhaust emission tests were conducted on 20 heavy-duty vehicles. These test vehicles were Euro 1 and Euro 2 compliant and included coaches, and trucks ranging from 7.5 to 38 tonne vehicles. The vehicles were tested over the European 13-mode and the FIGE engine dynamometer tests, with some of the vehicles repeat tested using an ultra low sulphur diesel fuel (ULSD). A single test vehicle was tested over a selection of real world driving cycles. In general, Euro 2 vehicles demonstrated lower emissions than Euro 1 vehicles. The ULSD produced large decreases in the emissions of CO and PM with a smaller decrease in NOx. Although Euro 2 vehicles produced less mass of particulate, the number of particles emitted significantly increased when compared to Euro 1. The FIGE and the Truck cycles produced the lowest and similar emission rates, while the bus cycle produced much higher levels, reflecting the importance of vehicle operation on emissions.

Tim Barlow; Ian McCrae

2001-01-01T23:59:59.000Z

19

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

Science Journals Connector (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

20

Comparing Emissions Benefits from Regulating Heavy Vehicle Idling...  

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

from Regulating Heavy Vehicle Idling Comparing Emissions Benefits from Regulating Heavy Vehicle Idling 2005 Diesel Engine Emissions Reduction (DEER) Conference...

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

Water Emissions from Fuel Cell Vehicles | Department of Energy  

Energy Savers (EERE)

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

22

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

23

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.

24

Consumer Vehicle Choice Model Documentation  

SciTech Connect

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

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

2012-08-01T23:59:59.000Z

25

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

26

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.

27

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

28

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

29

Emissions Minimization Vehicle Routing Problem Miguel Figliozzi  

E-Print Network (OSTI)

. The level of GHG emissions is a proxy for fuel consumption in diesel engines and in the near future, the minimization of emissions and fuel consumption as the primary or secondary objective. This creates a new type, study, and solve a new vehicle routing problem where the minimization of emissions and fuel consumption

30

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

31

Emissions from ethanol and LPG fueled vehicles  

SciTech Connect

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

32

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...

33

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...

34

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

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 The Connecticut Low Emission Vehicles II Program requires that all new

36

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

37

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

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 Washington adopted the California motor vehicle emission standards in Title

39

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

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 The Pennsylvania Clean Vehicles Program requires that all new passenger

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

Emission Estimation of Heavy Duty Diesel Vehicles by Developing Texas Specific Drive Cycles with Moves  

E-Print Network (OSTI)

Driving cycles are acting as the basis of the evaluation of the vehicle performance from air quality point of view, such as fuel consumption or pollutant emission, especially in emission modeling and emission estimation. The original definition...

Gu, Chaoyi

2013-07-31T23:59:59.000Z

42

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

43

VEHICLE EMISSIONS AND TRAFFIC MEASURES: EXPLORATORY ANALYSIS OF FIELD  

E-Print Network (OSTI)

VEHICLE EMISSIONS AND TRAFFIC MEASURES: EXPLORATORY ANALYSIS OF FIELD OBSERVATIONS AT SIGNALIZED between vehicle emissions and traffic control measures is an important step toward reducing the potential roadway design and traffic control, have the ability to reduce vehicle emissions. However, current vehicle

Frey, H. Christopher

44

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

45

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,

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 Rhode Island Department of Environmental Management has adopted

47

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

48

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

49

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

50

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

51

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

52

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.

53

Emission control cost-effectiveness of alternative-fuel vehicles  

SciTech Connect

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

54

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

55

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.

56

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

57

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

58

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

59

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.  

SciTech Connect

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

60

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

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

Advanced Clean Cars Zero Emission Vehicle Regulation  

E-Print Network (OSTI)

Advanced Clean Cars Zero Emission Vehicle Regulation ZEV #12;Advanced Clean Cars ZEV Program 2020 2021 2022 2023 2024 2025 Current Regulation -ZEVs Current Regulation -PHEVs Projected: PHEVs 15Net ­ Blueprint Plan ­ Regional clusters, environmental and economic analysis · Clean Fuels Outlet

California at Davis, University of

62

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

63

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

64

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

65

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

66

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

67

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

68

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

69

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

70

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

71

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

72

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...

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

Vehicle Technologies Office Merit Review 2014: Particulate Emissions...  

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

Particulate Emissions Control by Advanced Filtration Systems for GDI Engines Vehicle Technologies Office Merit Review 2014: Particulate Emissions Control by Advanced Filtration...

75

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

76

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

77

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

78

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...

79

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...

80

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

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: 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

82

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 20052010, a vehicles tax is negatively correlated with its ...

Klier, Thomas

83

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...

84

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

85

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

SciTech Connect

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

86

Richmond Electric Vehicle Initiative Electric Vehicle Readiness...  

Office of Environmental Management (EM)

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

87

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.

88

Vehicle Technologies Office Merit Review 2014: Joint Development and Coordination of Emissions Control Data and Models (CLEERS Analysis and Coordination)  

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

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

89

Vehicle Technologies Office Merit Review 2014: Advanced Heavy-Duty Engine Systems and Emissions Control Modeling and Analysis  

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

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

90

Vehicle Modeling and Simulation  

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

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

91

Aggregate vehicle travel forecasting model  

SciTech Connect

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

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

1995-05-01T23:59:59.000Z

92

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

93

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.

94

Energy use and CO2 emissions reduction potential in passenger car fleet using zero emission vehicles and lightweight materials  

Science Journals Connector (OSTI)

Introduction of \\{ZEVs\\} (zero emission vehicles) and lightweight materials in a conventional steel-intensive internal combustion engine vehicle fleet will affect energy consumption and automotive material requirements. We developed a bottom-up dynamic accounting model of the light-duty vehicle fleet, including vehicle production and disposal, with detailed coverage of powertrains and automotive materials. The model was used to study the potential for energy consumption and CO2 emissions reduction of \\{ZEVs\\} and lightweight materials in the Colombian passenger car fleet from 2010 to 2050. Results indicate that passenger car stock in Colombia is increased by 6.6 times between 2010 and 2050. In the base scenario energy consumption and CO2 emissions are increased by 5.5 and 4.9 times respectively. Lightweighting and battery electric vehicles offer the largest tank-to-wheel energy consumption and CO2 emissions reductions, 48 and 61% respectively, compared to 2050 baseline values. Slow stock turnover and fleet size increment prevent larger reductions. Switching to electric powertrains has larger impact than lightweighting on energy consumption and CO2 emissions. Iron and steel remain major materials in new cars. Aluminum consumption increases in all scenarios; while carbon fiber reinforced polymer consumption only increases due to fuel cell hybrid electric vehicle or lightweight vehicle use.

Juan C. Gonzlez Palencia; Takaaki Furubayashi; Toshihiko Nakata

2012-01-01T23:59:59.000Z

95

Houston Zero Emission Delivery Vehicle Deployment Project  

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

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

96

Analyzing Beijing?s In-Use Vehicle Emissions Test Results Using Logistic Regression  

Science Journals Connector (OSTI)

As of 2003, over 100 auto makers sold cars in China, and most were either domestic firms or foreign joint ventures. ... Apart from these cost?benefit considerations, the need for a program to identify vehicle model types with defective vehicle emission control systems can be framed in terms of fairness. ...

Cheng Chang; Leonard Ortolano

2008-08-27T23:59:59.000Z

97

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)

LDV. However, Ford (Wallington, 1996), the EIA (Emissions ofautomobile air conditioners (Wallington, 1996) . As a resultsystems is not detectable (Wallington, 1996) . Therefore, I

Delucchi, Mark

2003-01-01T23:59:59.000Z

98

Impact of Light-Duty Vehicle Emissions on 21st Century Carbon Dioxide Concentrations  

SciTech Connect

The impact of light-duty passenger vehicle emissions on global carbon dioxide concentrations was estimated using the MAGICC reduced-form climate model combined with the PNNL contribution to the CCSP scenarios product. Our central estimate is that tailpipe light duty vehicle emissions of carbon-dioxide over the 21st century will increase global carbon dioxide concentrations by slightly over 12 ppmv by 2100.

Smith, Steven J.; Kyle, G. Page

2007-08-04T23:59:59.000Z

99

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...

Mallett, Vickie Lynn

2012-06-07T23:59:59.000Z

100

CO2 Emission Benefit of Diesel (versus Gasoline) Powered Vehicles  

Science Journals Connector (OSTI)

Increased penetration of diesel powered vehicles into the market is a possible transition strategy toward a more sustainable transportation system. ... We report herein a quantitative analysis of the CO2 emission benefits of diesel vehicles versus their gasoline equivalents for 2001 MY and 2015 MY in European and North American markets. ... However, more stringent tailpipe NOx emissions standards are likely to have a greater negative impact on diesel engines, further reducing the advantages of future diesels relative to gasoline engines. ...

J. L. Sullivan; R. E. Baker; B. A. Boyer; R. H. Hammerle; T. E. Kenney; L. Muniz; T. J. Wallington

2004-05-13T23:59:59.000Z

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.


101

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

SciTech Connect

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

102

Vehicle Technologies Office: Emission Control | Department of...  

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

Batteries Fuel Efficiency & Emissions Combustion Engines Fuel Effects on Combustion Idle Reduction Emissions Waste Heat Recovery Lightweighting Parasitic Loss Reduction Lubricants...

103

Vehicle Technologies Office: Fuel Efficiency and Emissions |...  

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

Batteries Fuel Efficiency & Emissions Combustion Engines Fuel Effects on Combustion Idle Reduction Emissions Waste Heat Recovery Lightweighting Parasitic Loss Reduction Lubricants...

104

Emissions from In-Use NG, Propane, and Diesel Fueled Heavy Duty Vehicles  

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

Emissions tests of in-use heavy-duty vehicles showed that, natural gas- and propane-fueled vehicles have high emissions of NH3 and CO, compared to diesel vehicles, while meeting certification requirements

105

A Predictive Tool for Emissions from Heavy-Duty Diesel Vehicles  

Science Journals Connector (OSTI)

This study was motivated by the need to augment a traffic simulation model, TRANSIMS (Los Alamos National Laboratories), with emissions predic tion capability, but the approach has wide and general application. ... Vehicle emissions were characterized using a variety of driving cycles, including the CBD Cycle, 5-Peak Cycle, 5-Mile Route, NY Bus Cycle, and the CSHVR (1, 2). ... Although off-cycle emissions will be curtailed in the future, they are present in many diesel vehicles manufactured over a decade of model years. ...

Nigel N. Clark; Prakash Gajendran; Justin M. Kern

2002-11-27T23:59:59.000Z

106

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

107

Reducing Emissions Associated with Electric Vehicles  

Science Journals Connector (OSTI)

A century ago the electric car (now more frequently called electric vehicle or ... development of lithium ion battery technology, the electric car once again offers to be the ideal ... transport pollution problem...

Laurence Sparke OAM

2012-01-01T23:59:59.000Z

108

Evaluate Greenhouse Gas Emissions Profile for Vehicles and Mobile Equipment  

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

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.

109

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

SciTech Connect

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

110

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

111

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

112

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.

113

Vehicle Emissions Review - 2012 | Department of Energy  

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

highlighting representative studies that illustrate the state-of-the-art deer12johnson.pdf More Documents & Publications Diesel Emission Control Review Review of Emerging...

114

Renewable Fuel Vehicle Modeling and Analysis | Department of...  

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

Renewable Fuel Vehicle Modeling and Analysis Renewable Fuel Vehicle Modeling and Analysis 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer...

115

AVTA Vehicle Component Cost Model | Department of Energy  

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

Vehicle Component Cost Model AVTA Vehicle Component Cost Model 2010 DOE Vehicle Technologies and Hydrogen Programs Annual Merit Review and Peer Evaluation Meeting, June 7-11, 2010...

116

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

E-Print Network (OSTI)

Fuel Cell Vehicle Analysis of Energy Use, Emissions, and Cost,"Cost Analysis of Conventional and Fuel Cell/Battery Powered Urban Passenger Vehicles,cost analysis of several types of AFVs, but did not include fuel cell vehicles

Lipman, Timothy Edward

1999-01-01T23:59:59.000Z

117

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

E-Print Network (OSTI)

Fuel Cell Vehicle Analysis of Energy Use, Emissions, and Cost,&Cost Analysis of Conventional and Fuel Cell/Battery Powered Urban Passenger Vehicles,cost analysis of several types of AFV s, but did not include fuel cell vehicles

Lipman, Timothy E.

1999-01-01T23:59:59.000Z

118

Achieving Acceptable Air Quality: Some Reflections on Controlling Vehicle Emissions  

Science Journals Connector (OSTI)

...ignore service or check-engine warning lights. The variability...emitting vehicles. Off-cycle operation. The remaining...adequately included in the FTP cycle. Emissions from one high...been neglected entirely. Diesel engines, which are used in the...

J. G. Calvert; J. B. Heywood; R. F. Sawyer; J. H. Seinfeld

1993-07-02T23:59:59.000Z

119

Prediction of In-Use Emissions of Heavy-Duty Diesel Vehicles from Engine Testing  

Science Journals Connector (OSTI)

Colorado Institute for Fuels and High Altitude Engine Research, Department of Chemical Engineering and Petroleum Refining, and Department of Environmental Science and Engineering, Colorado School of Mines, Golden, Colorado 80401-1887 ... The model has been validated using emissions tests conducted on three diesel vehicles on a chassis dynamometer and then on the engines removed from the vehicles tested on an engine dynamometer. ... They found that acceleration transients accounted for roughly 80% of the particulate mass emitted over the cycle but only 45% of the fuel consumption, although the peak carbon emissions were correlated with steep transients in fueling rates. ...

Janet Yanowitz; Michael S. Graboski; Robert L. McCormick

2002-01-11T23:59:59.000Z

120

Running loss emissions from in-use vehicles (CRC project number E-35-2). Final report  

SciTech Connect

In Mesa, Arizona, a total of 150 vehicles were recruited at a local I/M lane and tested for running loss emissions at the Automotive Testing Labs (ATL). Running loss emissions were measured in a Running Loss SHED (Sealed Housing for Evaporative Determination) for a 25 minute, 7.5 mile trip on a hot summer day (95 deg F). Vehicles from model years 1971 through 1991 were tested. The program identified 30 vehicles as candidates for repair and retest. The result showed a very high (ca. 90%) effectiveness for the repairs. Repeat tests were run on 10 vehicles to provide an estimate for test-to-test variability.

Haskew, H.M.; Eng, K.D.; Liberty, T.F.; Reuter, R.M.

1999-02-01T23:59:59.000Z

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.


121

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

E-Print Network (OSTI)

Vehicle Fuel Economy and GHG Emission Standards Around theVehicle Industry to Reduce GHG Emissions in Canada Part of2 (After Various Areas of GHG Actual Ethanol Mobile Light

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

122

Impact of Canadas Voluntary Agreement on Greenhouse Gas Emissions from Light Duty Vehicles  

E-Print Network (OSTI)

Vehicle Fuel Economy and GHG Emission Standards Around theVehicle Industry to Reduce GHG Emissions in Canada Part of2 (After Various Areas of GHG Actual Ethanol Mobile Light

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

123

Comparison of Particle Sizing Instrument Technologies for Vehicle Emissions Testing  

E-Print Network (OSTI)

a PFI engine instead of a GDI engine. However, the responsesemissions from a light-duty GDI vehicle. Aerosol Science andInjection engine (WG-GDI), the 2012 Model Year Mercedes Benz

Chen, Vincent

2014-01-01T23:59:59.000Z

124

A zinc-air battery and flywheel zero emission vehicle  

SciTech Connect

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

125

Carbonyl Emissions from Gasoline and Diesel Motor Vehicles  

Science Journals Connector (OSTI)

In the present study we describe measurements of gas- and particle-phase carbonyl emissions from light-duty gasoline (LDV) and heavy-duty diesel (HDDV) motor vehicles operated on a chassis dynamometer under realistic driving cycles. ... Vehicles were tested under a five-mode driving cycle (HHDDT, heavy heavy-duty diesel truck) consisting of 30-min idle, 17-min creep, and 11-min transient stages and two cruise stages of 34 and 31 min, with a top speed of 65 miles h?1 for the second cruise (30). ... In general, as the volatility of the carbonyl decreased, so did the PUF/total particulate carbonyl ratio. ...

Chris A. Jakober; Michael A. Robert; Sarah G. Riddle; Hugo Destaillats; M. Judith Charles; Peter G. Green; Michael J. Kleeman

2008-05-24T23:59:59.000Z

126

In-Use Emissions from Heavy-Duty Diesel Vehicles  

Science Journals Connector (OSTI)

A recent study that included 21 vehicles found that in general, g/mi emissions levels for regulated pollutants were highest for the CBD cycle, followed by the HDT cycle. ... Here g/mi NOx from the HDT and WVT driving cycles is plotted against NOx on the CBD cycle for all of the vehicles included in this paper that were tested on more than one of these driving cycles. ... The heavy-duty diesel EPM contained a higher proportion of OC than that from the light-duty diesels. ...

Janet Yanowitz; Robert L. McCormick; Michael S. Graboski

2000-01-29T23:59:59.000Z

127

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

128

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

SciTech Connect

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

129

Topology-Based Vehicle Systems Modelling.  

E-Print Network (OSTI)

??The simulation tools that are used to model vehicle systems have not been advancing as quickly as the growth of research and technology surrounding the (more)

Yam, Edward

2013-01-01T23:59:59.000Z

130

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

131

THE INTEGRATION MODELING FRAMEWORK FOR ESTIMATING MOBILE SOURCE EMISSIONS  

E-Print Network (OSTI)

@vt.edu. #12;Rakha and Ahn 2 the environmental impacts of ITS alternatives. The model combines car dynamics. Consequently, the assessment of the energy and emission impacts of alternative investments can-following, vehicle dynamics, lane changing, energy, and emission models to estimate mobile source emissions directly

Rakha, Hesham A.

132

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...

133

Heavy Duty Vehicle Modeling & Simulation  

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

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

134

Valuation of plug-in vehicle life-cycle air emissions and oil displacement benefits  

E-Print Network (OSTI)

potential of plug-in vehicles remains small compared to ownership cost. As such, to offer a socially efficient approach to emissions and oil consumption reduction, lifetime cost of plug-in vehicles mustValuation of plug-in vehicle life-cycle air emissions and oil displacement benefits Jeremy J

Michalek, Jeremy J.

135

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

136

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.

137

Vehicle Technologies Office's Research Recognized by R&D 100...  

Office of Environmental Management (EM)

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

138

EcoCAR 3 Pushes the Vehicle Efficiency Envelope | Department...  

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

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

139

A Midwest Regional Inventory of Heavy-Duty Diesel Vehicle Emissions  

E-Print Network (OSTI)

A Midwest Regional Inventory of Heavy-Duty Diesel Vehicle Emissions by Christopher D. Dresser OF WISCONSIN - MADISON Abstract A Midwest Regional Inventory of Heavy-Duty Diesel Vehicle Emissions Christopher Studies This study presents a "bottom-up" emissions inventory for NOx, PM2.5, SO2, CO, and VOCs from heavy

Wisconsin at Madison, University of

140

Integrated Mathematical Modeling Software Series of Vehicle Propulsion...  

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

Mathematical Modeling Software Series of Vehicle Propulsion System: (1) Tractive Effort (T sub ew) of Vehicle Road WheelTrack Sprocket Integrated Mathematical Modeling Software...

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

Autonomie Modeling Tool Improves Vehicle Design and Testing,...  

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

Autonomie Modeling Tool Improves Vehicle Design and Testing, Informs New Fuel Economy Standards Autonomie Modeling Tool Improves Vehicle Design and Testing, Informs New Fuel...

142

Fact #771: March 18, 2013 California Zero-Emission Vehicle Mandate is Now in Effect  

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

A waiver granted by the Environmental Protection Agency (EPA) on December 27, 2012, allowed the Amendments to the California Zero Emission Vehicle (ZEV) Regulation to become effective immediately....

143

Vehicle Technologies Office Merit Review 2014: Emissions Control for Lean Gasoline Engines  

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

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

144

Evolution of the household vehicle fleet: Anticipating fleet composition, PHEV adoption and GHG emissions in Austin, Texas  

Science Journals Connector (OSTI)

In todays world of volatile fuel prices and climate concerns, there is little study on the relationship between vehicle ownership patterns and attitudes toward vehicle cost (including fuel prices and feebates) and vehicle technologies. This work provides new data on ownership decisions and owner preferences under various scenarios, coupled with calibrated models to microsimulate Austins personal-fleet evolution. Opinion survey results suggest that most Austinites (63%, population-corrected share) support a feebate policy to favor more fuel efficient vehicles. Top purchase criteria are price, type/class, and fuel economy. Most (56%) respondents also indicated that they would consider purchasing a Plug-in Hybrid Electric Vehicle (PHEV) if it were to cost $6000 more than its conventional, gasoline-powered counterpart. And many respond strongly to signals on the external (health and climate) costs of a vehicles emissions, more strongly than they respond to information on fuel cost savings. Twenty five-year simulations of Austins household vehicle fleet suggest that, under all scenarios modeled, Austins vehicle usage levels (measured in total vehicle miles traveled or VMT) are predicted to increase overall, along with average vehicle ownership levels (both per household and per capita). Under a feebate, HEVs, \\{PHEVs\\} and Smart Cars are estimated to represent 25% of the fleets VMT by simulation year 25; this scenario is predicted to raise total regional VMT slightly (just 2.32%, by simulation year 25), relative to the trend scenario, while reducing CO2 emissions only slightly (by 5.62%, relative to trend). Doubling the trend-case gas price to $5/gallon is simulated to reduce the year-25 vehicle use levels by 24% and CO2 emissions by 30% (relative to trend). Two- and three-vehicle households are simulated to be the highest adopters of \\{HEVs\\} and \\{PHEVs\\} across all scenarios. The combined share of vans, pickup trucks, sport utility vehicles (SUVs), and cross-over utility vehicles (CUVs) is lowest under the feebate scenario, at 35% (versus 47% in Austins current household fleet). Feebate-policy receipts are forecasted to exceed rebates in each simulation year. In the longer term, gas price dynamics, tax incentives, feebates and purchase prices along with new technologies, government-industry partnerships, and more accurate information on range and recharging times (which increase customer confidence in EV technologies) should have added effects on energy dependence and greenhouse gas emissions.

Sashank Musti; Kara M. Kockelman

2011-01-01T23:59:59.000Z

145

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...

Routex, Jean-Yves

2012-06-07T23:59:59.000Z

146

Modeling effects of vehicle specifications on fuel economy based on engine fuel consumption map and vehicle dynamics  

Science Journals Connector (OSTI)

Abstract The present study conducts a vehicle dynamic modeling of gasoline and diesel vehicles by using the AVL commercial program. 10 passenger vehicles were tested for 7 types of driving modes containing city, express and highway driving mode. The various vehicle data (specifications, fuel consumption map, gear shifting curve data, etc.) were collected and implemented as input data. The calculations were conducted with changing driving modes and vehicle types, and prediction accuracy of the calculation results were validated based on chassis dynamometer test data. In order to increase prediction accuracy for a wide vehicle operating range, some modifications regarding gear shifting was also conducted. From these processes, it is confirmed that the prediction accuracy of fuel efficiency and CO2 emissions shows a strong correlations with test results. After ensuring the accuracy of the calculation result, parametric studies were conducted to reveal correlations between vehicle specifications (e.g., vehicle weight and frontal area) on fuel efficiency and CO2 emissions and check which parameters were highly impact on fuel efficiency.

Yunjung Oh; Junhong Park; Jongtae Lee; Myung Do Eom; Sungwook Park

2014-01-01T23:59:59.000Z

147

Fuel-Cycle Energy and Emissions Analysis with the GREET Model...  

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

Fuel-Cycle Energy and Emissions Analysis with the GREET Model Fuel-Cycle Energy and Emissions Analysis with the GREET Model 2009 DOE Hydrogen Program and Vehicle Technologies...

148

Fact #783: June 10, 2013 Emissions and Energy Use Model - GREET...  

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

types and fuels. The results below are from GREET Model 2012 v.2. Greenhouse gas (GHG) emissions (in carbon dioxide (CO2) equivalent) are compared for 2035 vehicles,...

149

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

150

Motor vehicle noise emission while accelerating up a hill  

Science Journals Connector (OSTI)

A noise survey was performed in 1975 to determine motor vehiclenoise emissions while accelerating up a grade. A?weighted sound levels were measured at locations 50 ft from urban streets with grades carrying between 4.3% and 9.6%. The recorded sound level data are presented as a function of grade for five classes of vechicles: passenger cars light trucks (GVW: under 8000 lb) light?medium trucks (GVW: 814 000 lb) medium trucks (GVW: 1424 000 lb) and heavy trucks (GVW: over 24 000 lb). Statistical distributions of the recorded sound level data are presented for each class of vehicle and compared to level street acceleration data measured in 1974 [Michael F. Nechvatal and Robert D. Hellweg Jr. J. Acoust. Soc. Am. 56 S34(A) (1974)].

Robert D Hellweg Jr.; Michael F. Nechvatal

1975-01-01T23:59:59.000Z

151

Zero-emission vehicle technology assessment. Final report  

SciTech Connect

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

152

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

153

Improving the Accuracy of Vehicle Emissions Profiles for Urban Transportation Greenhouse Gas and Air Pollution Inventories  

Science Journals Connector (OSTI)

Improving the Accuracy of Vehicle Emissions Profiles for Urban Transportation Greenhouse Gas and Air Pollution Inventories ... Metropolitan greenhouse gas and air emissions inventories can better account for the variability in vehicle movement, fleet composition, and infrastructure that exists within and between regions, to develop more accurate information for environmental goals. ... Older vehicles tend to have higher levels of CAP not only because of less-advanced pollution control technology, but also because of the deterioration of aging control systems. ...

Janet L. Reyna; Mikhail V. Chester; Soyoung Ahn; Andrew M. Fraser

2014-12-01T23:59:59.000Z

154

Shifting primary energy source and NOx emission location with plug-in hybrid vehicles  

Science Journals Connector (OSTI)

Plug-in hybrid vehicles (PHEVs) present an interesting technological opportunity for using non-fossil primary energy in light duty passenger vehicles, with the associated potential for reducing air pollutant and greenhouse gas emissions, to the extent that the electric power grid is fed by non-fossil sources. This perspective, accompanying the article by Thompson et al (2011) in this issue, will touch on two other studies that are directly related: the Argonne study (Elgowainy et al 2010) and a PhD thesis from Utrecht (van Vliet 2010). Thompson et al (2011) have examined air quality effects in a case where the grid is predominantly fossil fed. They estimate a reduction of 7.42 tons/day of NOx from motor vehicles as a result of substituting electric VMTs for 20% of the light duty gasoline vehicle miles traveled. To estimate the impact of this reduction on air quality they also consider the increases in NOx emissions due to the increased load on electricity generating units. The NOx emission increases are estimated as 4.0, 5.5 and 6.3 tons for the Convenience, Battery and Night charging scenarios respectively. The net reductions are thus in the 1.13.4 tons/day range. The air quality modelling results presented show that the air quality impact from a ground-level ozone perspective is favorable overall, and while the effect is stronger in some localities, the difference between the three scenarios is small. This is quite significant and suggests that localization of the NOx emissions to point sources has a more pronounced effect than the absolute reductions achieved. Furthermore it demonstrates that localization of NOx emissions to electricity generating units by using PHEVs in vehicle traffic has beneficial effects for air quality not only by minimizing direct human exposure to motor vehicle emissions, but also due to reduced exposure to secondary pollutants (i.e. ozone). In an electric power grid with a smaller share of fossil fired generating units, the beneficial effects would be more pronounced. In such a case, it would also be possible to realize reductions in greenhouse gas emissions. The significance of the electric power generation mix for plug-in hybrid vehicles and battery electric vehicles is a key aspect of Argonne National Laboratories' well-to-wheel study which focuses on petroleum use and greenhouse gas emissions (Elgowainy et al 2010). The study evaluates possible reductions in petroleum use and GHG emissions in the electric power systems in four major regions of the United States as well as the US average generation mix, using Argonne's GREET life-cycle analysis model. Two PHEV designs are investigated through a Powertrain System Analysis Toolkit (PSAT) model: the power-split configuration (e.g. the current Toyota Prius model with Hymotion conversion), and a future series configuration where the engine powers a generator, which charges a battery that is used by the electric motor to propel the vehicle. Since the petroleum share is small in the electricity generation mix for most regions in the United States, it is possible to achieve significant reductions in petroleum use by PHEVs. However, GHG reduction is another story. In one of the cases in the study, PHEVs in the charge depleting mode and recharging from a mix with a large share of coal generation (e.g., Illinois marginal mix) produce GHG emissions comparable to those of baseline gasoline internal combustion engine vehicles (with a range from ?15% to +10%) but significantly higher than those of gasoline hybrid electric vehicles (with a range from +20% to +60%). In what is called the unconstrained charging scenario where investments in new generation capacity with high efficiency and low carbon intensity are envisaged, it becomes possible to achieve significant reductions in both petroleum use and GHG emissions. In a PhD dissertation at Utrecht University, van Vliet (2010) presents a comprehensive analysis of alternatives to gasoline and diesel by looking at various fuel and vehicle technologies. Three chapters are of particular interest from the

Deniz Karman

2011-01-01T23:59:59.000Z

155

California's Zero Emission Vehicle Program Cleaner air needed  

E-Print Network (OSTI)

that are powered by a combination of electric motors and internal combustion engines, and fuel cell vehicles and other alternative fueled vehicles, super-clean gasoline vehicles, fuel-efficient hybrids powered by electricity created from pollution-free hydrogen. ARB is not suggesting that every Californian

Gille, Sarah T.

156

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

157

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; 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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.

158

Hybrid Human Powered Vehicle (Phase 3) The Zero EMission (ZEM) Vehicle Project  

E-Print Network (OSTI)

The Construction of ZEM Car ­ a hybrid human/electric/solar powered vehicle (P-2) (2007-2008) Principal) Hybrid human pedaling/ electric powered vehicle- Designed and constructed P-1 prototype Sponsor: SJSU) Hybrid human pedaling/ Electric/solar powered vehicle (HPV-ZEM)-Designed P-2 Sponsor: SJSU-COE 16 ME + 3

Su, Xiao

159

Concentrations and Size Distributions of Particulate Matter Emissions...  

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

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

160

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

SciTech Connect

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

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

that minimizes vehicle emissions during design of routes in congested environments with time-dependent travel speeds, hard time windows,  

E-Print Network (OSTI)

that minimizes vehicle emissions during design of routes in congested environments with time emissions, and several laboratory and field methods are available for estimating vehicle emissions rates (1 and then begins to increase again (2); hence, the relationship between emission rates and travel speed

Bertini, Robert L.

162

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.

163

The Economic, Energy, and GHG Emissions Impacts of Proposed 20172025 Vehicle Fuel  

E-Print Network (OSTI)

The Economic, Energy, and GHG Emissions Impacts of Proposed 2017­2025 Vehicle Fuel Economy of the Marine Biology Laboratory (MBL) at Woods Hole, and by short- and long-term visitors to the Program-2025 Vehicle Fuel Economy Standards in the United States Valerie J. Karplus* and Sergey Paltsev* Abstract

164

On-Road Remote Sensing of Vehicle Emissions in Mexico  

Science Journals Connector (OSTI)

The Subsecretara de Ecologa's Office was able to provide vehicle registration information for 10?654 vehicles. ... The groups consisted of all light-duty passenger vehicles, which included vans and sport utility vehicles; light-duty pickup trucks; Eco taxis (ecological taxis are taxis for hire that are required by the Mexican government to be post-1990 gasoline powered and are painted green and white to signify this); post 1990-VW sedans (including any Eco taxis, nicknamed Beetles in the United States); pre-1991 VW sedans (including any painted as if an Eco taxi); gasoline-powered micro-transit buses, diesel-powered transit buses, and trucks larger than pickup trucks. ...

Gary A. Bishop; Donald H. Stedman; Julin de la Garza Castro; Franciso J. Dvalos

1997-11-26T23:59:59.000Z

165

Vehicle Technologies Office Merit Review 2014: Zero-Emission...  

Office of Environmental Management (EM)

given by South Coast Air Quality Management District at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation...

166

The origin of Californias zero emission vehicle mandate  

E-Print Network (OSTI)

that one million alternative fuel vehicles be sold in thethe adoption of alternative fuels (particularly methanol) asof the adoption of alternative fuels. A key recommendation

Sperling, Dan; Collantes, Gustavo O

2008-01-01T23:59:59.000Z

167

Diurnal emissions from in-use vehicles. CRC project E-9  

SciTech Connect

One hundred fifty-one vehicles were recruited from the I/M lane in Mesa, AZ during the summer of 1996, and their 24 hour diurnal emissions were measured in a variable temperature SHED (VT-SHED). The fleet selection included the earliest applications of evaporative emission control, and later technologies that has at least 5 years of exposure. Model years 1971 through 1991 were tested. `Resting Losses` were estimated for the fleet using the last 6 hours of the diurnal. Analysis of the closed bottom canisters against the open bottom design indicated a 2 gram per day difference between the two designs. An I/M purge and pressure check identified the majority of the major failures, but often for the wrong reasons.

Haskew, H.M.; Liberty, T.F.

1998-09-01T23:59:59.000Z

168

Integrated Virtual Lab in Supporting Heavy Duty Engine and Vehicle Emission Rulemaking  

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

Presentation discusses a virtual lab which can model sophisticated future vehicle systems using three layers of model fidelity supporting each other.

169

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 vehicle miles trav

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

2010-06-14T23:59:59.000Z

170

Life Cycle Assessment of Greenhouse Gas Emissions from Plug-in Hybrid Vehicles: Implications for Policy  

Science Journals Connector (OSTI)

Electricity generation infrastructure is long-lived, and technology decisions within the next decade about electricity supplies in the power sector will affect the potential for large GHG emissions reductions with PHEVs for several decades. ... Life cycle GHG emissions (g CO2-eq/km) of conventional vehicles (CVs), hybrid electric vehicles (HEVs), and plug-in hybrids (PHEVs) with all-electric ranges of 30, 60, or 90 km. ...

Constantine Samaras; Kyle Meisterling

2008-04-05T23:59:59.000Z

171

Vehicle Technologies Office: Upcoming Events | Department of...  

Energy Savers (EERE)

Electric Vehicles & Batteries Fuel Efficiency & Emissions Alternative Fuels Modeling, Testing, Data & Results Education & Workforce Development Financial Opportunities News Events...

172

Emissions Impacts and Benefits of Plug-In Hybrid Electric Vehicles and Vehicle-to-Grid Services  

Science Journals Connector (OSTI)

In addition to using a cleaner source of fuel, PHEVs may further increase the efficiency of electric generators and reduce overall emissions by providing two vehicle-to-grid (V2G) services (6, 7): energy storage and ancillary services (AS). ... This also demonstrates the importance of detailed emissions impact studies for other power systems: ERCOT is a unique power system in that it has a great deal of natural gas and wind generation, and the emissions impacts of PHEVs may be different in other power systems. ...

Ramteen Sioshansi; Paul Denholm

2009-01-22T23:59:59.000Z

173

Off-Highway Heavy Vehicle Diesel Efficiency Improvement and Emissions...  

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

High Engine Efficiency at 2010 Emissions Integrated Engine and Aftertreatment Technology Roadmap for EPA 2010 Heavy-duty Emissions Regulations Optimization of...

174

Achieving Acceptable Air Quality: Some Reflections on Controlling Vehicle Emissions  

Science Journals Connector (OSTI)

...combus-tion. Over time, electric vehicles will not...shift as fossil fuel power plants that provide...trans-portation power that is free of...urban areas where electric vehicles are used...some-times increased. In refineries, MTBE is generally...mechanisms. Volatility curves for methanol-gasoline...

J. G. Calvert; J. B. Heywood; R. F. Sawyer; J. H. Seinfeld

1993-07-02T23:59:59.000Z

175

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

176

ANALYTICAL EMISSION MODELS FOR SIGNALISED ARTERIALS Bruce Hellinga, Mohammad Ali Khan, and Liping Fu  

E-Print Network (OSTI)

ANALYTICAL EMISSION MODELS FOR SIGNALISED ARTERIALS Bruce Hellinga, Mohammad Ali Khan, and Liping for quantifying vehicle tailpipe emissions. In this paper we present non-linear regression models that can be used for emission data is examined using field data. The proposed models have adjusted R 2 values ranging from 0

Hellinga, Bruce

177

Modeling and Simulation of Electric and Hybrid Vehicles  

E-Print Network (OSTI)

, and fuel cell vehicles, such as electric machines, power electronics, electronic continuously variableINVITED 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

Mi, Chunting "Chris"

178

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

179

Fact #598: November 23, 2009 Hybrid Vehicle Sales by Model  

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

The number of all light vehicles sold declined about 18% from 2007 to 2008, while the number of hybrid vehicles sold declined about 11%. Five new hybrid models were sold in 2008; other than those,...

180

Phenomenological Driving Behavior Model of the Suburban Vehicle-to-Vehicle Propagation Channel at  

E-Print Network (OSTI)

Phenomenological Driving Behavior Model of the Suburban Vehicle-to-Vehicle Propagation Channel at 5 a hierarchical phenomenological model of driving behavior to describe this observation. As an example, we a phenomenological model in a hierarchical manner to describe the expected relative velocity vs. distance of two

Stancil, Daniel D.

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

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

182

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

183

Reducing Vehicle Emissions to Meet Environmental Goals | Department...  

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

and diesel vehicles have been cleaned up, it's time to turn to the new challenge of climate change and its effect on California. deer09cackette.pdf More Documents &...

184

Electric Vehicles in China: Emissions and Health Impacts  

Science Journals Connector (OSTI)

E-bikes in China are the single largest adoption of alternative fuel vehicles in history, with more than 100 million e-bikes purchased in the past decade and vehicle ownership about 2 larger for e-bikes as for conventional cars; e-car sales, too, are rapidly growing. ... This articles focus on electric vehicles (EVs: electric cars [e-cars] and electric two-wheelers including electric bicycles and light electric scooters [e-bikes]) in China is motivated in part by their unprecedented rise in popularity (Figure 1). ... Elec. vehicles (EV) are proposed in China as a potential option to address dramatically increasing energy demand from on-road transport; however, mass EV use could involve multiple environmental issues since EV use electricity primarily generated by coal. ...

Shuguang Ji; Christopher R. Cherry; Matthew J. Bechle; Ye Wu; Julian D. Marshall

2011-12-22T23:59:59.000Z

185

Effect of E85 on Tailpipe Emissions from Light-Duty Vehicles  

SciTech Connect

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

186

Valuation of plug-in vehicle life-cycle air emissions and oil displacement benefits  

Science Journals Connector (OSTI)

...of life-cycle air emissions and oil consumption from conventional vehicles, hybrid-electric...efficient approach to emissions and oil consumption reduction, lifetime cost of plug-in...average car vs. $0.004mi for an electric car on an average driving time and location...

Jeremy J. Michalek; Mikhail Chester; Paulina Jaramillo; Constantine Samaras; Ching-Shin Norman Shiau; Lester B. Lave

2011-01-01T23:59:59.000Z

187

Vehicle-emission characteristics using mechanically emulsified alcohol/diesel fuels  

SciTech Connect

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

188

Life Cycle Inventory Energy Consumption and Emissions for Biodiesel versus Petroleum Diesel Fueled Construction Vehicles  

Science Journals Connector (OSTI)

Life Cycle Inventory Energy Consumption and Emissions for Biodiesel versus Petroleum Diesel Fueled Construction Vehicles ... In general, LCI emissions of HC and CO are lower if NSPS-compliant soyoil plants are used. ... The purpose of this study is to demonstrate a methodology for characterizing at high resolution the energy use and emissions of a plug-in parallel-hybrid diesel-electric school bus (PHSB) to support assessments of sensitivity to driving cycles and ... ...

Shih-Hao Pang; H. Christopher Frey; William J. Rasdorf

2009-07-16T23:59:59.000Z

189

Integrated Nozzle Flow, Spray, Combustion, & Emission Modeling...  

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

Spray, Combustion, & Emission Modeling using KH-ACT Primary Breakup Model & Detailed Chemistry Integrated Nozzle Flow, Spray, Combustion, & Emission Modeling using KH-ACT Primary...

190

In-use vehicle emissions in China: Beijing study  

SciTech Connect

China's economic boom in the last three decades has spurred increasing demand for transportation services and personal mobility. Consequently, vehicle population has grown rapidly since the early 1990s, especially in megacities such as Beijing, Guangzhou, and Tianjin. As a result, mobile sources have become more conspicuous contributors to urban air pollution in Chinese cities. Tianjin was our first focus city, and the study there took us about two years to complete. Building upon the experience and partnership generated through the Tianjin study, the research team carried out the Beijing study from fall 2007fall 2008. Beijing was chosen to be our second focus city for several reasons: it has the largest local fleet and the highest percentage of the population owning vehicles among all Chinese cities, and it has suffered from severe air pollution, partially due to the ever-growing population of on-road vehicles.

Oliver, Hongyan H.; Gallagher, Kelly Sims (Energy Technology Innovation Policy Research Group, Harvard Kennedy School, Cambridge, MA (US)); Li, Mengliang; Qin, Kongjian; Zhang, Jianwei (China Automotive Research and Technology Center (CN)); Liu, Huan; He, Kebin (Department of Environmental Engineering and Science, Tsinghua Univ. (CN))

2009-05-01T23:59:59.000Z

191

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

SciTech Connect

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

192

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,

193

Scenario Analysis on the Impact of Diffusion of Next Generation Vehicles on Material Consumption and GHG Emissions  

Science Journals Connector (OSTI)

In this study, we developed an automobile cohort model to evaluate the effect of the diffusion of next generation vehicles such as hybrid electric vehicles and electric vehicles on material consumption and GHG em...

Yuta Higuchi; Naoki Wada; Toyohiko Nakakubo

2012-01-01T23:59:59.000Z

194

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

SciTech Connect

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

195

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

196

Cold-Start Emissions Control in Hybrid Vehicles Equipped with...  

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

with a Passive Adsorber for Hydrocarbons and NOx Reports results from study of potential for using chemisorbing materials to temporally trap HC and NOx emissions during...

197

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

Open Energy Info (EERE)

in the short and long term (between 2010 and 2030), covering urban and regional air pollutants as well as emissions of climate forcers. The scenarios include the potential...

198

Parameter estimation of a linear vehicle model  

E-Print Network (OSTI)

(1987) . It has already been seen that the discrete-time vehicle model can be described by equation 5. 1 as Y(kr) = Md CdY((k 1)r) Md Rdr((k 2)Y) +ldd SldU((k 1)Y) + Md 82dU((k 1)Y) + N(kr) + Md CdN((k-1)Y) + ldd RdN((k ? 2) Y) A discrete state...-space representation of the model of the form T(k+1) = [F ]T(k) + [G ]U? X(k) = [HQT(k) Y(k) = X(k) + N(k) is now sought. If the state vector I (k) is given by (5. 28) x(k) 1(k) = X(k+1) Md SldU(k) then the state-space model can be described as follows: (5...

Helin, Franz

1990-01-01T23:59:59.000Z

199

Achieving Acceptable Air Quality: Some Reflections on Controlling Vehicle Emissions  

Science Journals Connector (OSTI)

...of CO and HCs. Diesel particulate emissions...v) in-use fuel is not as clean...reduce gasoline engine ex-haust emissions...in (i) basic engine improvements...improved air and fuel distribution...reduced oil consumption; tighter tol-erances on engine design and manufacture...

J. G. Calvert; J. B. Heywood; R. F. Sawyer; J. H. Seinfeld

1993-07-02T23:59:59.000Z

200

Measurement of vehicle emissions and the associated dispersion near roadways  

E-Print Network (OSTI)

halance I, echnique sufl'ers I&vo disadva&i&, ages: (1) the emission factor may &&nly l&e calcula4cd for exis&, ing roads and (2) I, he analys4 &nusI, have accuraLe air quality, I, raflic, and inel, eorological da4a to estimal, e the emission rate...

Hlavinka, M. W

1986-01-01T23:59:59.000Z

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.


201

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

SciTech Connect

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

202

Modeling and adaptive control of indoor unmanned aerial vehicles  

E-Print Network (OSTI)

The operation of unmanned aerial vehicles (UAVs) in constrained indoor environments presents many unique challenges in control and planning. This thesis investigates modeling, adaptive control and trajectory optimization ...

Michini, Bernard (Bernard J.)

2009-01-01T23:59:59.000Z

203

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

204

Supporting Multidisciplinary Vehicle Analysis Using a Vehicle Reference Architecture Model in SysML  

Science Journals Connector (OSTI)

To develop competitive vehicles with ever increasing complexity, automotive designers need to improve their ability to explore a broad range of system architectures efficiently and effectively. Whereas traditional vehicle systems are based on internal combustion (IC) engines, today's environmentally conscious vehicle manufacturers must consider alternatives to the IC engine- only systems such as hybrid or electric systems. To design a good vehicle, it is necessary to analyze each of these system architectures from a variety of perspectives including performance, fuel economy, or even thermal behavior. Creating all the necessary analysis models for all possible system architectures manually is very time-consuming, expensive, and error-prone. To overcome such challenges, a novel approach has been developed for partly automatically generating subsystem model templates to support the integration of analysis models in a consistent and convenient fashion. The approach starts from a Vehicle Reference Architecture (VRA) model defined in the Systems Modeling Language (OMG SysMLTM). After specialization of this VRA into a specific vehicle program model, this SysML model is automatically transformed into Modelica and Simulink templates for the corresponding analysis models. These templates embody interfaces that fit into a system-level integrated model so that individual subsystem experts can focus on modeling the physical or controls behavior of their particular subsystem without having to worry about subsequent integration issues. The subsystem template models guarantee consistency in the integration phase. The entire approach introduced in this paper is called the Vehicle Architecture Modeling Framework (VAMF), which includes the SysML VRA model, the corresponding analysis templates, and the transformation tools developed to support the approach. Throughout this paper, a specific (realistic but sanitized) vehicle program and a full pedal acceleration analysis test scenario are used as demonstration examples.

Jaclyn M. Branscomb; Christiaan J.J. Paredis; Judy Che; Mark J. Jennings

2013-01-01T23:59:59.000Z

205

Integrated Nozzle Flow, Spray, Combustion, & Emission Modeling...  

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

Combustion, and Emission Modeling Using KH-ACT Primary Breakup Model & Detailed Chemistry Sibendu Som, Douglas E. Longman Engine and Emissions Group (Energy Systems Division)...

206

Converting CO2 emissions and hydrogen into methanol vehicle fuel  

Science Journals Connector (OSTI)

There are new possibilities for transforming the ecological position of the metal-producing industries by utilizing their green-house gas emissions with electrolytically produced hydrogen to generate methanol ...

Bragi rnason; Thorsteinn I. Sigfsson

1999-05-01T23:59:59.000Z

207

Cost of Ownership and Well-to-Wheels Carbon Emissions/Oil Use of Alternative Fuels and Advanced Light-Duty Vehicle Technologies  

SciTech Connect

The U.S. Department of Energy (DOE), Argonne National Laboratory (Argonne), and the National Renewable Energy Laboratory (NREL) updated their analysis of the well-to-wheels (WTW) greenhouse gases (GHG) emissions, petroleum use, and the cost of ownership (excluding insurance, maintenance, and miscellaneous fees) of vehicle technologies that have the potential to significantly reduce GHG emissions and petroleum consumption. The analyses focused on advanced light-duty vehicle (LDV) technologies such as plug-in hybrid, battery electric, and fuel cell electric vehicles. Besides gasoline and diesel, alternative fuels considered include natural gas, advanced biofuels, electricity, and hydrogen. The Argonne Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation (GREET) and Autonomie models were used along with the Argonne and NREL H2A models.

Elgowainy, Mr. Amgad [Argonne National Laboratory (ANL); Rousseau, Mr. Aymeric [Argonne National Laboratory (ANL); Wang, Mr. Michael [Argonne National Laboratory (ANL); Ruth, Mr. Mark [National Renewable Energy Laboratory (NREL); Andress, Mr. David [David Andress & Associates, Inc.; Ward, Jacob [U.S. Department of Energy; Joseck, Fred [U.S. Department of Energy; Nguyen, Tien [U.S. Department of Energy; Das, Sujit [ORNL

2013-01-01T23:59:59.000Z

208

Well-to-Wheels Analysis of Advanced Fuel/Vehicle Systems- A North American Study of Energy Use, Greenhouse Gas Emissions, and Criteria Pollutant Emissions  

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

A complete vehicle fuel-cycle analysis, commonly called a well-to-wheels (WTW) analysis that examines the use and emissions associated with fuel production (or well-to-tank [WTT]) activities and energy use and emissions associated with vehicle operation (or tank-to-wheels [TTW]) activities.

209

Simultaneous Measurement of On-Road Vehicle Emissions and Traffic Flow Using Remote Sensing and an Area-Wide  

E-Print Network (OSTI)

, headway, vehicle type) were simultaneously measured using a video-based area-wide traffic detection system collected via conventional and advanced vehicle monitoring systems. The project is sponsored1 Simultaneous Measurement of On-Road Vehicle Emissions and Traffic Flow Using Remote Sensing

Frey, H. Christopher

210

Issues in emissions testing of hybrid electric vehicles.  

SciTech Connect

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

211

Fact #686: August 1, 2011 Emissions and Energy Use Model - GREET...  

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

Well-to-Wheel Emissions for Various Fuels and Vehicle Technologies Fuel Grams of CO2-Equivalent per Mile Vehicle Technology Gasoline (Today's Vehicle) 450 Conventional...

212

ON-ROAD MOTOR VEHICLE EMISSIONS FROM AROUND THE WORLD Donald H. Stedman and Gary A. Bishop  

E-Print Network (OSTI)

ON-ROAD MOTOR VEHICLE EMISSIONS FROM AROUND THE WORLD Donald H. Stedman and Gary A. Bishop@du.edu ABSTRACT In 1993, on-road emissions in Continental Europe showed a pronounced South/North declining gradient for CO, HC and NO fuel specific emissions (gm/kg). Emissions in Hamburg and Rotterdam were

Denver, University of

213

Plug-in Hybrid Electric Vehicle On-Road Emissions Characterization and Demonstration Study  

E-Print Network (OSTI)

On-road emissions and operating data were collected from a plug-in hybrid electric vehicle (PHEV) over the course of 6months spanning August 2007 through January 2008 providing the first comprehensive on-road evaluation of the PHEV drivetrain...

Hohl, Carrie

2012-12-31T23:59:59.000Z

214

Heavy Duty Vehicle Modeling and Simulation  

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

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

215

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

216

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

217

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)

218

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

219

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

220

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

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

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

SciTech Connect

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

222

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

223

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 th

Huo, H.; Wang, M.; Johnson, L.; He, D.; Energy Systems; Energy Foundation

2007-01-01T23:59:59.000Z

224

Effect of use of low oxygenate gasoline blends upon emissions from California vehicles. Final report  

SciTech Connect

The objective of this project was to investigate the emissions effects of low-oxygenate gasoline blends on exhaust and evaporative emissions from a test fleet of California certified light-duty autos. Thirteen vehicles were procured and tested using four gasoline-oxygenate blends over three test cycles. The four gasoline blends were: Methyl Tertiary Butyl Ether (MTBE), Ethyl Tertiary Butyl Ether (ETBE), and 'match' and 'splash' blends of ethanol (in the 'match' blend the fuel Reid Vapor Pressure (RVP) is held constant, while in the 'splash' blend the fuel RVP is allowed to increase). Hydrocarbon and carbon monoxide exhaust emissions were generally reduced for the oxygenated blends, the exception being the 'splash-blended' ethanol gasoline which showed mixed results. Older technology vehicles (e.g., non-catalyst and oxidation catalyst) showed the greatest emissions reductions regardless of gasoline blend, while later technology vehicles showed the smallest reductions. Evaporative emissions and toxics were generally reduced for ETBE, while results for the other blends were mixed.

Born, G.L.; Lucas, S.V.; Scott, R.D.; DeFries, T.H.; Kishan, S.

1994-02-01T23:59:59.000Z

225

Speed-and Facility-Specific Emission Estimates for On-Road Light-Duty Vehicles based on Real-World Speed Profiles  

E-Print Network (OSTI)

06-1096 Speed- and Facility-Specific Emission Estimates for On-Road Light-Duty Vehicles based on Real-World Speed Profiles By H. Christopher Frey, Ph.D. Professor Department of Civil, Construction demand and land use models such as TransCAD, TranPlan or TRANUS produce average link speed and link VMT

Frey, H. Christopher

226

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...

227

Specialty Vehicles and Material Handling Equipment  

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

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

228

Carbon Emission Targets for Driving Sustainable Mobility with US Light-Duty Vehicles  

Science Journals Connector (OSTI)

The Intergovernmental Panel on Climate Change (IPCC) and many independent scientists warn that if global mean temperatures rise 1?5 C from 1990 levels due to anthropogenic greenhouse gas emissions, risks of extreme climate events and widespread regional ecological and economic impacts will significantly increase (11, 12). ... PHEVs can displace on-road gasoline-powered vehicles and help to meet the defined targets if the average carbon intensity of the remaining conventional and PHEV vehicle mix is less than the LDV g/mile target. ... Keoleian, G. A.; Kar, K.; Manion, M.; Bulkley, J. W. Industrial Ecology of the Automobile: A Life Cycle Assessment; Society of Automotive Engineers: Warrendale, PA, 1997. ...

Hilary G. Grimes-Casey; Gregory A. Keoleian; Blair Willcox

2008-12-31T23:59:59.000Z

229

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

SciTech Connect

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

230

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

231

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

232

On-vehicle emission measurement of a light-duty diesel van at various speeds at high altitude  

Science Journals Connector (OSTI)

Abstract As part of the research on the relationship between the speed of a vehicle operating at high altitude and its contaminant emissions, an on-vehicle emission measurement of a light-duty diesel van at the altitudes of 1000m, 2400m and 3200m was conducted. The test vehicle was a 2.8L turbocharged diesel Ford Transit. Its settings were consistent in all experiments. Regulated gaseous emissions, including CO, HC and NOx, together with particulate matter was measured at nine speeds ranged from 10kmh?1 to 90kmh?1 with 10kmh?1 intervals settings. At each speed, measurement lasted for at least 120s to ensure the sufficiency and reliability of the collected data. The results demonstrated that at all altitudes, CO and HC emissions decreased as the vehicle speed increased. However both \\{NOx\\} and PM increased with vehicle speed. In terms of the effects of altitude, an increase in CO, HC and PM was observed with the rising of altitude at each vehicle speed. \\{NOx\\} behaved different: emission of \\{NOx\\} initially increased as the vehicle was raised from 1000m to 2400m, but it decreased when the vehicle was further elevated to 3200m.

Xin Wang; Hang Yin; Yunshan Ge; Linxiao Yu; Zhenxian Xu; Chenglei Yu; Xuejiao Shi; Hongkun Liu

2013-01-01T23:59:59.000Z

233

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

SciTech Connect

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

234

Determination of Single Particle Mass Spectral Signatures from Light-Duty Vehicle Emissions  

Science Journals Connector (OSTI)

Significant variability was observed in the chemical composition of particles emitted within the different car categories as well as for the same car operating under different driving conditions. ... This increase was also seen for the six TWC passenger cars, which were tested on the FTP and UC cycles (Supplemental Information, Figure S4). ... Given that the majority of those high-emitting vehicles had defective emission control systems (99), it is also likely that they emitted high levels of PM as well. ...

David A. Sodeman; Stephen M. Toner; Kimberly A. Prather

2005-05-12T23:59:59.000Z

235

Photon emission within the linear sigma model  

E-Print Network (OSTI)

Soft-photon emission rates are calculated within the linear sigma model. The investigation is aimed at answering the question to which extent the emissivities map out the phase structure of this particular effective model of strongly interacting matter.

F. Wunderlich; B. Kampfer

2014-12-22T23:59:59.000Z

236

Long-Term Changes in Gas- and Particle-Phase Emissions from On-Road Diesel and Gasoline Vehicles  

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

Poster presentation at the 2007 Diesel Engine-Efficiency & Emissions Research Conference (DEER 2007). 13-16 August, 2007, Detroit, Michigan. Sponsored by the U.S. Department of Energy's (DOE) Office of FreedomCAR and Vehicle Technologies (OFCVT).

237

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:

238

A study aimed at assessing the potential impact of vehicle electrification on grid infrastructure and road-traffic green house emissions  

Science Journals Connector (OSTI)

Abstract In the current paper a thorough analysis is conducted to assess, on one hand, the impact of vehicle electrification on electric grids and their related infrastructures, and, on the other, its potential contribution to GHG emission reduction. Such an analysis covers the timeframe 20112050, thus allowing to assess if the environment friendliness of both PHEV and BEV will be enough contributing, particularly towards the fulfillment of the objectives recently established both by official agreements among governments and research consortia (e.g. the International Energy Agency) as well. The expected time evolution of both PHEV and BEV private car fleets is modeled through a simplified market penetration model, along with the associated contribution in terms of well to tank and tank to wheel GHG emissions, thus providing the needed input data to the scenario analysis. Particularly, a longitudinal vehicle model is adopted to accurately estimate electric vehicle energy consumptions and related GHG emissions as a function of powertrain configuration, dimensions and mass. The analysis was run on several countries, thus providing useful outcomes to assess the suitability of given energy mix to fully exploit vehicle electrification. Such indications will therefore be useful to determine to which extent progressive decarbonization of current grids is required to meet the GHG reduction target by 2050.

Marco Sorrentino; Gianfranco Rizzo; Luca Sorrentino

2014-01-01T23:59:59.000Z

239

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

SciTech Connect

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

240

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

SciTech Connect

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

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

How car material life-cycle emissions are considered in environmental rating methodologies? Suggestion of expedite models and discussion  

Science Journals Connector (OSTI)

Abstract This paper reviews existing vehicle environmental rating methodologies worldwide and focuses on how these methodologies deal with alternative vehicle technologies (plug-in vehicles, hybrid vehicles, and fuel cell vehicles) and emissions of greenhouse gases (CO2, N2O, and CH4) and pollutants (NOx, VOC, CO, SOx, PM10 and PM2.5) derived from embodied materials life cycle. United States, Mexico, Europe and Australia have public access data and websites with top 10 rankings. The ways the scores are calculated for each vehicle have differences in what regards the considered boundaries for the emissions analysis. In Europe, there is still not a unique rating methodology or ranking system, e.g., Belgium, Germany and United Kingdom have their specific scoring schemes. Multilinear regression models were developed as an attempt to estimate the vehicle embodied emissions as a function of vehicle lifecycle mileage, electricity mix, vehicle mass, battery mass and fuel cell power to cope with different production regions and different alternative vehicle technologies. The regression models were validated against Volkswagen life cycle assessments (LCAs), and compared against American Council for an Energy Efficient Economy (ACEEE) Green Book linear functions for material assessment and UK 12 material dataset for materials assessment. The developed models proved to be useful in applications related to rating methodologies using life-cycle concepts, with good reliability for comparisons considering the complexity of processes involved in vehicle materials life-cycle assessment.

Gonalo N. Correia; Teresa P. Batista; Sara S. Marques; Carla M. Silva

2014-01-01T23:59:59.000Z

242

Modeling and Optimization of PEMFC Systems and its Application to Direct Hydrogen Fuel Cell Vehicles  

E-Print Network (OSTI)

a Direct-Hydrogen, Load-Following Fuel Cell Vehicle, SAEversus a Direct-Hydrogen Load-Following Fuel Cell Vehicle,vehicle model of a load-following direct hydrogen fuel cell

Zhao, Hengbing; Burke, Andy

2008-01-01T23:59:59.000Z

243

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

E-Print Network (OSTI)

market share for alternative-fuel vehicles drop from thePreferences for Alternative-Fuel Vehicles, Brownstone DavidA Dynamic Household Alternative-fuel Vehicle Demand Model

Sheng, Hongyan

1999-01-01T23:59:59.000Z

244

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 worlds 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 worlds 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 worlds 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

245

Reducing the CO2 emissions and the energy dependence of a large city area with zero-emissionvehicles and nuclear energy  

Science Journals Connector (OSTI)

Abstract This paper aims to study the feasibility of implementing a strategic plan for a gradual introduction of zero-emissionvehicles in the city of Madrid during 20142024. The study estimate the amount of emissions saved if the electrical energy needed for the vehicles is generated with nuclear power plants. The use of zero-emissionvehicles could play an important role in reducing our dependence on oil and, therefore, changing the economy structure of the country. Therefore, as a representing city, Madrid's nowadays situation is studied. The city's vehicle fleet is first considered and classified. An average both daily and annually fuel consumption is made, in order to know the city's gasoline investment. Moreover, the health effects of air pollution, which is largely due to the city's vehicles, are statistically considered in order to analyze the economic impact of treating these effects. Furthermore, noise pollution and it's both direct and indirect consequences are studied. After having analyzed Madrid's situation, a comparison between some international cities and the Spanish capital is made, regarding their vehicle fleet and their environmental and economical consequences. European environmental policy and future criteria are exposed. Regarding the technical feasibility, two types of zero-emission technologies are considered, the battery-electric car and de hydrogen fuel cell vehicle (FCV). After having described the benefits and disadvantages of the use of zero-emissionvehicles, a macroeconomic analysis is done in order to study the economic feasibility of the project. To do this, not only several economic variables, such as gross domestic product in the area, but also survey data, such as the average daily driving time are considered. Finally, a strategic plan for a gradual implementation of zero-emission vehicles in the city of Madrid is proposed, taking into account the quantity of emissions saved if the electrical energy needed is generated with nuclear power plants. In this plan, some policy actions are proposed for a gradual implementation. Policy actions such as special fees for those driving internal combustion engine vehicles, free parking for zero-emission vehicles or even a subsidized car replacement plan.

Gonzalo Jimenez; Jose Miguel Flores

2015-01-01T23:59:59.000Z

246

A Preliminary Investigation into the Mitigation of Plug-in Hybrid Electric Vehicle Tailpipe Emissions Through Supervisory Control Methods Part 2: Experimental Evaluation of Emissions Reduction Methodologies  

SciTech Connect

Plug-in hybrid electric vehicle (PHEV) technologies have the potential for considerable petroleum consumption reductions, possibly at the expense of increased tailpipe emissions due to multiple 'cold' start events and improper use of the engine for PHEV specific operation. PHEVs operate predominantly as electric vehicles (EVs) with intermittent assist from the engine during high power demands. As a consequence, the engine can be subjected to multiple cold start events. These cold start events may have a significant impact on the tailpipe emissions due to degraded catalyst performance and starting the engine under less than ideal conditions. On current hybrid electric vehicles (HEVs), the first cold start of the engine dictates whether or not the vehicle will pass federal emissions tests. PHEV operation compounds this problem due to infrequent, multiple engine cold starts. A continuation of previous analytical work, this research, experimentally verifies a vehicle supervisory control system for a pre-transmission parallel PHEV powertrain architecture. Energy management strategies are evaluated and implemented in a virtual environment for preliminary assessment of petroleum displacement benefits and rudimentary drivability issues. This baseline vehicle supervisory control strategy, developed as a result of this assessment, is implemented and tested on actual hardware in a controlled laboratory environment over a baseline test cycle. Engine cold start events are aggressively addressed in the development of this control system, which leads to enhanced pre-warming and energy-based engine warming algorithms that provide substantial reductions in tailpipe emissions over the baseline supervisory control strategy. The flexibility of the PHEV powertrain allows for decreased emissions during any engine starting event through powertrain 'torque shaping' algorithms. The results of the research show that PHEVs do have the potential for substantial reductions in fuel consumption. Tailpipe emissions from a PHEV test platform have been reduced to acceptable levels through the development and refinement of vehicle supervisory control methods only. Impacts on fuel consumption were minimal for the emissions reduction techniques implemented.

Smith, David E [ORNL] [ORNL; Lohse-Busch, Henning [Argonne National Laboratory (ANL)] [Argonne National Laboratory (ANL); Irick, David Kim [ORNL] [ORNL

2010-01-01T23:59:59.000Z

247

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] [ORNL; Daw, C Stuart [ORNL] [ORNL; Smith, David E [ORNL] [ORNL

2013-01-01T23:59:59.000Z

248

Chemical Composition of Gas-Phase Organic Carbon Emissions from Motor Vehicles and Implications for Ozone Production  

E-Print Network (OSTI)

gasoline and diesel vehicles via two methods. First we use speciated measurements of exhaust emissions from and comprise 32 ± 2% of gasoline exhaust and 26 ± 1% of diesel exhaust by mass. We calculate and compare ozone production potentials of diesel exhaust, gasoline exhaust, and nontailpipe gasoline emissions. Per mass

Cohen, Ronald C.

249

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.

250

Valuation of plug-in vehicle life-cycle air emissions and oil displacement benefits  

Science Journals Connector (OSTI)

...cell, and plug-in hybrid electric vehicles. Electric and Hybrid Vehicles: Power Sources...Sustainability, Infrastructure and the Market, ed...Assessment of Plug-in Hybrid Electric Vehicles...and vehicle-to-grid services. Environ...

Jeremy J. Michalek; Mikhail Chester; Paulina Jaramillo; Constantine Samaras; Ching-Shin Norman Shiau; Lester B. Lave

2011-01-01T23:59:59.000Z

251

Valuation of plug-in vehicle life-cycle air emissions and oil displacement benefits  

Science Journals Connector (OSTI)

...and plug-in hybrid electric vehicles. Electric and Hybrid Vehicles: Power...Sustainability, Infrastructure and the Market...of Plug-in Hybrid Electric Vehicles...vehicle-to-grid services. Environ...Department of Energy (2010) The...

Jeremy J. Michalek; Mikhail Chester; Paulina Jaramillo; Constantine Samaras; Ching-Shin Norman Shiau; Lester B. Lave

2011-01-01T23:59:59.000Z

252

An Optimization Model for Plug-In Hybrid Electric Vehicles  

SciTech Connect

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] [ORNL; Smith, David E [ORNL] [ORNL

2011-01-01T23:59:59.000Z

253

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

254

A review of fundamental drivers governing the emissions, dispersion and exposure to vehicle-emitted nanoparticles at signalised traffic intersections  

Science Journals Connector (OSTI)

Abstract Signalised traffic intersections (TIs) are considered as pollution hot-spots in urban areas, but the knowledge of fundamental drivers governing emission, dispersion and exposure to vehicle-emitted nanoparticles (represented by particle number concentration, PNC) at \\{TIs\\} is yet to be established. A number of following key factors, which are important for developing an emission and exposure framework for nanoparticles at TIs, are critically evaluated as a part of this review article. In particular, (i) how do traffic- and wind-flow features affect emission and dispersion of nanoparticles? (ii) What levels of \\{PNCs\\} can be typically expected under diverse signal- and traffic-conditions? (iii) How does the traffic driving condition affect the particle number (PN) emissions and the particle number emission factors (PNEF)? (iv) What is the relative importance of particle transformation processes in affecting the PNCs? (v) What are important considerations for the dispersion modelling of nanoparticles? (vi) What is extent of exposure at \\{TIs\\} with respect to other locations in urban settings? (vii) What are the gaps in current knowledge on this topic where the future research should focus? We found that the accurate consideration of dynamic traffic flow features at \\{TIs\\} is essential for reliable estimates of PN emissions. Wind flow features at \\{TIs\\} are generally complex to generalise. Only a few field studies have monitored \\{PNCs\\} at \\{TIs\\} until now, reporting over an order of magnitude larger peak \\{PNCs\\} (0.75.4נ105cm?3) compared with average \\{PNCs\\} at typical roadsides (?0.3נ105cm?3). The PN emission and thus the \\{PNEFs\\} can be up to an order of magnitude higher during acceleration compared with steady speed conditions. The time scale analysis suggests nucleation as the fastest transformation process, followed by dilution, deposition, coagulation and condensation. Consideration of appropriate flow features, \\{PNEFs\\} and transformation processes emerged as important parameters for reliable modelling of \\{PNCs\\} at TIs. Computation of respiratory deposition doses (RDD) based on the available PNC data suggest that the peak RDD at \\{TIs\\} can be up to 12-times higher compared with average RDD at urban roadsides. Systematic field and modelling studies are needed to develop a sound understanding of the emissions, dispersion and exposure of nanoparticles at the TIs.

Anju Goel; Prashant Kumar

2014-01-01T23:59:59.000Z

255

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)

256

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)

257

A Low-Cost Continuous Emissions Monitoring System for Mobile and Stationary Engine SCR/DPF Applications/Data-Logger for Vehicle Data Acquisition  

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

This project describes a novel system of sensors that continuously monitor emissions in real time and a data logger to gather real-time data from a vehicle

258

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

259

Vehicle Technologies Office Merit Review 2014: Vehicle Thermal Systems Modeling in Simulink  

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

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

260

The Smart Grid, A Scale Demonstration Model Incorporating Electrified Vehicles  

E-Print Network (OSTI)

renewable energy resources that can generate and manage power locally, leading to precision control of the electrical grid. Renewable energy is captured using both a student-built 45W solar panel and a 50W wind turbine to charge two separate battery..., further decentralization occurs by employing the LiFeYPO4 battery pack of a PHEV/BEV as a reserve or dynamic storage bank. Use of a commercial vehicle in this manner can lower greenhouse-gas emissions, improve urban air quality, save consumers...

Clemon, Lee; Mattson, Jon; Moore, Andrew; Necefer, Len; Heilman, Shelton

2011-04-01T23:59:59.000Z

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.


261

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

262

Multibody Models for Vehicle Accident Reconstruction  

Science Journals Connector (OSTI)

Simplified multibody models can be used to reconstruct accidents involving complex dynamics, particularly, in the first stages of accident investigation, accidents involving motorcycles and pedestrians [1], [2].

Ricardo J. F. Portal; Joo M. P. Dias

2006-01-01T23:59:59.000Z

263

Modeling Electric Vehicle Benefits Connected to Smart Grids  

E-Print Network (OSTI)

Vehicle Benefits Connected to Smart Grids M. Stadler 1,2,a ,Electric Vehicle Benefits Connected to Smart Grids Michael

Stadler, Michael

2012-01-01T23:59:59.000Z

264

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

265

Project Information Form Project Title White Paper on Strategies for Transitioning to Zero-Emission Vehicles--  

E-Print Network (OSTI)

fuel-cell-electric vehicles (HFCVs). These technologies can be used in passenger cars, trucks (ZEVs) include battery-electric vehicles (BEVs), plug-in hybrid-electric vehicles (PHEVs), and hydrogen

California at Davis, University of

266

The Economic, Energy, and GHG Emissions Impacts of Proposed 20172025 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

267

Vehicle Technologies Office Merit Review 2014: Hydrogen Fuel-Cell Electric Hybrid Truck & Zero Emission Delivery Vehicle Deployment  

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

Presentation given by Houston-Galvelston Area Council at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about hydrogen fuel...

268

Neural Network Based Energy Storage System Modeling for Hybrid Electric Vehicles  

SciTech Connect

Demonstrates the application of an artificial neural network (ANN) for modeling the energy storage system of a hybrid electric vehicle.

Bhatikar, S. R.; Mahajan, R. L.; Wipke, K.; Johnson, V.

1999-08-01T23:59:59.000Z

269

Modeling of Lean Exhaust Emissions Control Systems | Department...  

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

Lean Exhaust Emissions Control Systems Modeling of Lean Exhaust Emissions Control Systems 2002 DEER Conference Presentation: National Renewable Energy Laboratory...

270

Survey of Emissions Models for Distributed Combined Heat and...  

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

Survey of Emissions Models for Distributed Combined Heat and Power Systems, 2007 Survey of Emissions Models for Distributed Combined Heat and Power Systems, 2007 The models...

271

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

SciTech Connect

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

272

Construction of a driver-vehicle model and identification of the driver model parameters  

E-Print Network (OSTI)

CONSTRUCTION OF A DRIVER-VEHICLE MODEL AND IDENTIFICATION OF THE DRIVER MODEL PARAMETERS A Thesis by , JEMENG SU Submitted to the Graduate College of Texas A8M University in partial fulfillment of the requiremr nt for the degree of MASTER... OF SCIENCE December 1981 Major Subject: Mechanical Engineering CONSTRUCTION OF A DRIVER-VEHICLE MODEL AND IDENTIFICATION OF THE DRIVER MODEL PARAMETERS A Thesis by JEMENG SU Approved as to style and content by: (Chairman of Committe ) / I...

Su, Jemeng

2012-06-07T23:59:59.000Z

273

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

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

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 for recharging PHEVs, as well as the powertrain technology and fuel sources for PHEVs.

274

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

E-Print Network (OSTI)

-produced electricity for battery electric vehicles. Already, vehicles powered by compressed natural gas, propane. LIPMAN AND MARK A. DELUCCHI example, promising strategies for powering motor vehicles with reduced GHGEMISSIONS OF NITROUS OXIDE AND METHANE FROM CONVENTIONAL AND ALTERNATIVE FUEL MOTOR VEHICLES

Kammen, Daniel M.

275

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

SciTech Connect

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

276

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

SciTech Connect

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

277

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

278

Clean Cities 2011 Vehicle Buyer's Guide  

SciTech Connect

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

279

2012 U.S. Vehicle Analysis  

E-Print Network (OSTI)

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

Lam, Ho Yeung Michael

2012-01-01T23:59:59.000Z

280

Development of a Dynamic Model of a Small High-Speed Autonomous Underwater Vehicle  

E-Print Network (OSTI)

Development of a Dynamic Model of a Small High-Speed Autonomous Underwater Vehicle Haider N. Arafat-- A dynamic model is developed for a small, high- speed autonomous underwater vehicle. The vehicle has manner: 1) Wind angle and angle : From u = V cos , v = V sin sin , and w = V sin cos , we have tan

Virginia Tech

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

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

282

Autonomie Modeling Tool Improves Vehicle Design and Testing, Informs New Fuel Economy Standards  

Office of Energy Efficiency and Renewable Energy (EERE)

Autonomie, an advanced vehicle modeling and design software package created by Argonne National laboratory with EERE support, is helping U.S. auto manufacturers develop the next generation of hybrid and electric vehicles.

283

Fact #765: February 4, 2013 EPA's Top 10 Conventionally-Fueled Vehicles for Model Year 2013  

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

For the 2013 model year, the Toyota Prius and smaller Prius c took the top spot with a combined average of 50 mpg. All vehicles making this list are hybrid vehicles, and six of the ten cars making...

284

Valuation of plug-in vehicle life-cycle air emissions and oil displacement benefits  

Science Journals Connector (OSTI)

...assumed. The life-cycle boundary includes emissions...the results of life-cycle assessment. Often...required. Gasoline, diesel, liquefied petroleum...prior work on the life cycle of petroleum products...and/or com-putable general equilibrium models with...

Jeremy J. Michalek; Mikhail Chester; Paulina Jaramillo; Constantine Samaras; Ching-Shin Norman Shiau; Lester B. Lave

2011-01-01T23:59:59.000Z

285

Vehicle Level Model and Control Development and Validation Under...  

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

Relevance 5 The objective is to develop the entire vehicle thermal management system for advanced electric drive vehicles (EREVs, HEVs, EVs, PHEVs). Additional energy...

286

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.

287

Appendix: Mercury Emissions used in CAM-Chem/Hg model. 1. Anthropogenic emissions  

E-Print Network (OSTI)

Appendix: Mercury Emissions used in CAM-Chem/Hg model. 1. Anthropogenic emissions The anthropogenic emission of mercury is directly adopted from global mercury emission inventory [Pacyna et al., 2005]. The anthropogenic emissions are shown in annual averaged total mercury emissions. (Unit: µg/m2 /day) 2. Land

Meskhidze, Nicholas

288

Advanced PHEV Engine Systems and Emissions Control Modeling and...  

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

PHEV Engine Systems and Emissions Control Modeling and Analysis Advanced PHEV Engine Systems and Emissions Control Modeling and Analysis 2011 DOE Hydrogen and Fuel Cells Program,...

289

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

SciTech Connect

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

290

Robust Nitrogen Oxide/Ammonia Sensors for Vehicle On-board Emissions Control  

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

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

291

Robust Nitrogen Oxide/Ammonia Sensors for Vehicle On-board Emissions Control  

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

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

292

Vehicle & Systems Simulation & Testing  

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

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

293

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

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

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

294

MODEL-BASED VEHICLE STATE ESTIMATION USING PREVIEWED ROAD GEOMETRY AND NOISY SENSORS  

E-Print Network (OSTI)

to the automotive world. Unfortunately for the designers of vehicle driver assist systems, however, most low- cost states from low-cost sensors remains [2]. In the case of autonomous vehicle guidance or in modeling another sen- sor input to estimate vehicle state. This is a particularly low-cost data source, especially

Brennan, Sean

295

A simple model of spontaneous emission  

E-Print Network (OSTI)

We present a very simple model of a spontaneous emission from a two-level atom, interacting with a field of a finite number of states. Such a process is often said to occur because of the large number of equally-probable states of environment. We show that in our model increasing the number of field states may and may not cause a practically permanent emission, depending on the details of the model. We also describe how irreversibility emerges with growing number of states. Mathematical tools are reduced to a necessary minimum and hopefully can be well understood by undergraduate students.

Krzysztof Piotr Wjcik

2012-03-31T23:59:59.000Z

296

Fact #779: May 13, 2013 EPA's Top Ten Rated Vehicles List for Model Year 2013 is All Electric  

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

The 2013 model year marks the first time when the Environmental Protection Agency's (EPA's) top ten most fuel efficient vehicles list is comprised entirely of electric vehicles. Electric vehicles...

297

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

298

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

299

Future energy loads for a large-scale adoption of electric vehicles in the city of Los Angeles: Impacts on greenhouse gas (GHG) emissions  

Science Journals Connector (OSTI)

Abstract Using plug-in electric vehicles (PEVs) has become an important component of greenhouse gas (GHG) emissions reduction strategy in the transportation sector. Assessing the net effect of \\{PEVs\\} on GHG emissions, however, is dependent on factors such as type and scale of electricity generation sources, adoption rate, and charging behavior. This study creates a comprehensive model that estimates the energy load and GHG emissions impacts for the years 2020 and 2030 for the city of Los Angeles. For 2020, model simulations show that the PEV charging loads will be modest with negligible effects on the overall system load profile. Contrary to previous study results, the average marginal carbon intensity is higher if PEV charging occurs during off-peak hours. These results suggest that current economic incentives to encourage off-peak charging result in greater GHG emissions. Model simulations for 2030 show that PEV charging loads increase significantly resulting in potential generation shortages. There are also significant grid operation challenges as the region?s energy grid is required to ramp up and down rapidly to meet PEV loads. For 2030, the average marginal carbon intensity for off-peak charging becomes lower than peak charging mainly due to the removal of coal from the power generation portfolio.

Jae D. Kim; Mansour Rahimi

2014-01-01T23:59:59.000Z

300

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.


301

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

302

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.

303

Vehicle Technologies Office Merit Review 2014: Fuel-Neutral Studies of Particulate Matter Transport Emissions  

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

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

304

Collect Data to Evaluate Greenhouse Gas Emissions Profile for Vehicles and Mobile Equipment  

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

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.

305

Robust Nitrogen Oxide/Ammonia Sensors for Vehicle On-board Emissions...  

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

* 53% NO x sensors that meet stringent vehicle requirements are not available: a) Cost (Complex sensors compared to the automotive sensor) b) Sensitivity (Need 5ppm or...

306

Robust Nitrogen Oxide/Ammonia Sensors for Vehicle On-board Emissions...  

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

complete NO x sensors that meet stringent vehicle requirements are not available: a) Cost (Complex sensors compared to the automotive sensor) b) Sensitivity (Need 5ppm or...

307

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

E-Print Network (OSTI)

that strongly supported electricdrive vehicles, was workingbattery developers, and electric-drive components industry).on attributes of the electric drive system that would help

Collantes, Gustavo

2006-01-01T23:59:59.000Z

308

Valuation of plug-in vehicle life-cycle air emissions and oil displacement benefits  

Science Journals Connector (OSTI)

...dispatch policy, plant retirement, new plant construction...documentation of vehicle specifications...plastics, steel, thermal insulation, electronic parts...engine oil, power steering fluid...

Jeremy J. Michalek; Mikhail Chester; Paulina Jaramillo; Constantine Samaras; Ching-Shin Norman Shiau; Lester B. Lave

2011-01-01T23:59:59.000Z

309

Vehicle Technologies Office Merit Review 2014: Particulate Emissions Control by Advanced Filtration Systems for GDI Engines  

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

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

310

Valuation of plug-in vehicle life-cycle air emissions and oil displacement benefits  

Science Journals Connector (OSTI)

...provide documentation of vehicle specifications, efficiency...aluminum, plastics, steel, thermal insulation, electronic parts) chemistries...refineries (grams per million British thermal units of finished gasoline product...

Jeremy J. Michalek; Mikhail Chester; Paulina Jaramillo; Constantine Samaras; Ching-Shin Norman Shiau; Lester B. Lave

2011-01-01T23:59:59.000Z

311

Vehicle Technologies Office Merit Review 2014: Atomistic models of LMRNMC Materials  

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

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

312

Vehicle Technologies Office Merit Review 2014: Coupled Hierarchical Models for Thermal, Mechanical, Electrical and Electrochemical Processes  

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

Presentation given by [company name] at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about coupled hierarchical models...

313

Vehicle Technologies Office Merit Review 2014: Model Development and Analysis of Clean & Efficient Engine Combustion  

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

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

314

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  

SciTech Connect

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

315

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

316

Evaluating Indoor Exposure Modeling Alternatives for LCA: A Case Study in the Vehicle Repair Industry  

Science Journals Connector (OSTI)

Evaluating Indoor Exposure Modeling Alternatives for LCA: A Case Study in the Vehicle Repair Industry ... Alternatives for modeling occupational exposure in LCA are evaluated using experimental monitoring data in the vehicle-repair industry. ... In addition to their use in occupational hygiene, exposure models may also be applied in environmental assessments, such as risk assessment (RA) and life-cycle assessment (LCA). ...

Evangelia Demou; Stefanie Hellweg; Michael P. Wilson; S. Katharine Hammond; Thomas E. McKone

2009-06-25T23:59:59.000Z

317

Fleet-averaged engine matrices for Australian vehicles and their use in fuel economy modelling  

Science Journals Connector (OSTI)

Data obtained during standard chassis dynamometer testing at the University of Sydney is used to produce an engine fuel consumption matrix for the test vehicle. The matrix includes the effect of engine operational transients and is presented in a generalised engine parameter form which allows comparisons between dissimilar vehicles. A sufficient number of tests have been carried out to construct a fleet-averaged engine matrix for in-use Australian vehicles. A model is described which uses this matrix to predict the effect of variations in vehicle parameters and traffic flow patterns on the fuel consumption of a motor vehicle on the road or on the dynamometer.

T.J. Gibson; R.W. Bilger

1987-01-01T23:59:59.000Z

318

Emissions Benefits From Renewable Fuels and Other Alternatives for Heavy-Duty Vehicles  

E-Print Network (OSTI)

Emissions Comparisons from Alternative Fuel Buses and DieselEmissions Comparisons from Alternative Fuel Buses and Dieselof Biodiesel as an Alternative Fuel for Current and Future

Hajbabaei, Maryam

2013-01-01T23:59:59.000Z

319

Modelling market diffusion of electric vehicles with real world driving data Part I: Model structure and validation  

Science Journals Connector (OSTI)

Abstract The future market diffusion of electric vehicles (EVs) is of great importance for transport related green house gas emissions and energy demand. But most studies on the market diffusion of \\{EVs\\} focus on average driving patters and neglect the great variations in daily driving of individuals present in real-world driving data. Yet these variations are important for \\{EVs\\} since range limitations and the electric driving share of plug-in hybrids strongly impact the economic evaluation and consumer acceptance of EVs. Additionally, studies often focus on private cars only and neglect that commercial buyers account for relevant market shares in vehicle sales. Here, we propose a detailed, user specific model for the market diffusion of \\{EVs\\} and evaluation of EV market diffusion policies based on real-world driving data. The data and model proposed include both private and commercial users in Germany and allow the calculation of realistic electric driving shares for all usage patterns. The proposed model explicitly includes user heterogeneity in driving behaviour, different user groups, psychological aspects and the effect of charge-at-home options. Our results show that the proposed model reproduces group specific market shares, gives confidence bands of market shares and simulates individual electric driving shares.

Patrick Pltz; Till Gnann; Martin Wietschel

2014-01-01T23:59:59.000Z

320

The Trucking Sector Optimization Model: A tool for predicting carrier and shipper responses to policies aiming to reduce GHG emissions  

Science Journals Connector (OSTI)

Abstract In response to the growing Climate Change problem, governments around the world are seeking to reduce the greenhouse gas (GHG) emissions of trucking. The Trucking Sector Optimization (TSO) model is introduced as a tool for studying the decisions that shippers and carriers make throughout time (focusing on investments in Fuel Saving Technologies), and for evaluating their impact on life-cycle GHG emissions. A case study of fuel taxation in California is used to highlight the importance of (1) modeling the trucking sector comprehensively, (2) modeling the dynamics of the stock of vehicles, and (3) modeling different sources of emissions.

Sebastian E. Guerrero; Samer M. Madanat; Robert C. Leachman

2013-01-01T23:59:59.000Z

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.


321

Effect of Gasoline Properties on Exhaust Emissions from Tier 2 Light-Duty Vehicles -- Final Report: Phase 3; July 28, 2008 - July 27, 2013  

SciTech Connect

This report covers work the Southwest Research Institute (SwRI) Office of Automotive Engineering has conducted for the U.S. Environmental Protection Agency (EPA), the National Renewable Energy Laboratory (NREL), and the Coordinating Research Council (CRC) in support of the Energy Policy Act of 2005 (EPAct). Section 1506 of EPAct requires EPA to produce an updated fuel effects model representing the 2007 light - duty gasoline fleet, including determination of the emissions impacts of increased renewable fuel use. This report covers the exhaust emissions testing of 15 light-duty vehicles with 27 E0 through E20 test fuels, and 4 light-duty flexible fuel vehicles (FFVs) on an E85 fuel, as part of the EPAct Gasoline Light-Duty Exhaust Fuel Effects Test Program. This program will also be referred to as the EPAct/V2/E-89 Program based on the designations used for it by the EPA, NREL, and CRC, respectively. It is expected that this report will be an attachment or a chapter in the overall EPAct/V2/E-89 Program report prepared by EPA and NREL.

Whitney, K.

2014-05-01T23:59:59.000Z

322

Analysis of emission right prices in greenhouse gas emission trading via agent-based model  

Science Journals Connector (OSTI)

This paper proposes a participant nation model for international emission trading; adaptive agents are used to explore the conditions under which an emission trading market is successful. In this study, the participation nation models with and without ... Keywords: Agent-Based Modeling, Compliance Mechanism, Emissions Trading, Kyoto Protocol, Reinforcement Learning

Tomohiro Nakada; Keiki Takadama; Shigeyoshi Watanabe

2013-05-01T23:59:59.000Z

323

An agent-based model to study market penetration of plug-in hybrid electric vehicles  

E-Print Network (OSTI)

An agent-based model to study market penetration of plug-in hybrid electric vehicles Margaret J 2011 Available online 29 April 2011 Keywords: Plug-in hybrid electric vehicles Market penetration Agent-based models. A recent joint report by the Electric Power Research Institute (EPRI) and the Natural Resources

Vermont, University of

324

Vehicle Technologies Office Merit Review 2014: Fuel and Lubricant Effects on Emissions Control Technologies  

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

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

325

Evaluation of KDOT's Vehicle Fleet's CO2 Emissions and Possible Energy Reductions  

E-Print Network (OSTI)

across all major vehicle types in the fleet. Using more efficient means of transportation can significantly decrease their fuel demand, namely replacing truck travel with car travel. Additionally, increasing biofuel use in their fleet will decrease...

Nielsen, Eric

2012-12-31T23:59:59.000Z

326

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

E-Print Network (OSTI)

Now, a portion of the 10% EV sales mandate can be composeda small percentage of EV sales with the ZEV mandate). Withsale of more high-profit, light-duty trucks and sport-utility vehicles under CAFE regulations. EV

Lipman, Timothy Edward

1999-01-01T23:59:59.000Z

327

Vehicle Technologies Office Merit Review 2014: Zero-Emission Heavy-Duty Drayage Truck Demonstration  

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

Presentation given by South Coast Air Quality Management District at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about...

328

Fees and rebates on new vehicles: Impacts on fuel efficiency, carbon dioxide emissions, and consumer surplus  

Science Journals Connector (OSTI)

Several incentive systems are examined that provide rebates on vehicles with higher-than-average fuel efficiency and levy fees on vehicles with less efficiency. The rebates and fees are applied to new vehicles at the time of purchase, and the rates are set such that the total outlay for rebates equals the revenues from fees. We find that moderately-sized rebates and fees result in a substantial increase in average fuel efficiency. Most of the effect is due to manufacturers' incorporating more fuel-efficiency technologies into the vehicles that they offer, since the rebates and fees effectively lower the price to manufacturers of these technologies. Consumer surplus is found to rise, and the profits of domestic manufacturers are estimated to drop only slightly under most systems and actually to rise under one system.

Kenneth E. Train; William B. Davis; Mark D. Levine

1997-01-01T23:59:59.000Z

329

Energy Department Announces $10 Million to Advance Zero-Emission Cargo Transport Vehicles  

Office of Energy Efficiency and Renewable Energy (EERE)

The U.S. Department of Energy today announced up to $10 million to demonstrate and deploy innovative alternate transportation technologies for cargo vehicles, designed to help reduce U.S. reliance on gasoline, diesel, and oil imports.

330

J. Air & Waste Manage. Assoc., vol 58, 2008, p. 45-54 On-board emission measurement of high loaded light duty vehicles in Algeria  

E-Print Network (OSTI)

; Nejjari et al., 2003, Atek et al., 2004). As a result, many stations of air pollution measurement and Boukadoum, 2005). Vehicle pollutant emissions constitute not only a problem of air quality in big citiesJ. Air & Waste Manage. Assoc., vol 58, 2008, p. 45-54 On-board emission measurement of high loaded

Boyer, Edmond

331

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.

332

Elucidating secondary organic aerosol from diesel and gasoline vehicles through detailed characterization of organic carbon emissions  

Science Journals Connector (OSTI)

...the SOA potential of diesel emissions, especially...improve heavy-duty diesel engine performance with postcombustion...attention to gasoline and diesel fuel composition and emissions...carbon. Although total consumption of oil is minor relative...

Drew R. Gentner; Gabriel Isaacman; David R. Worton; Arthur W. H. Chan; Timothy R. Dallmann; Laura Davis; Shang Liu; Douglas A. Day; Lynn M. Russell; Kevin R. Wilson; Robin Weber; Abhinav Guha; Robert A. Harley; Allen H. Goldstein

2012-01-01T23:59:59.000Z

333

Valuation of plug-in vehicle life-cycle air emissions and oil displacement benefits  

Science Journals Connector (OSTI)

...greenhouse gas and SO2 emissions...greenhouse gas (GHG) emissions...electricity generation, oil refining...from coal-fired power plants. Fig...electricity generation mixes as the...natural gas, coal, nuclear...hydroelectric power is assumed...

Jeremy J. Michalek; Mikhail Chester; Paulina Jaramillo; Constantine Samaras; Ching-Shin Norman Shiau; Lester B. Lave

2011-01-01T23:59:59.000Z

334

Emissions Benefits From Renewable Fuels and Other Alternatives for Heavy-Duty Vehicles  

E-Print Network (OSTI)

natural gas engines are predominately unburned fuel, therefore, the non-methane hydrocarbon fraction of THC exhaust emissions typically trends

Hajbabaei, Maryam

2013-01-01T23:59:59.000Z

335

Emissions Benefits From Renewable Fuels and Other Alternatives for Heavy-Duty Vehicles  

E-Print Network (OSTI)

Diesel Fuel: Trade-off between NOx, Particulate Emission, and Fuel Consumption of a Heavy Duty Engine.

Hajbabaei, Maryam

2013-01-01T23:59:59.000Z

336

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

337

In-vehicle mm-Wave Channel Model and Measurement  

E-Print Network (OSTI)

and costly cable bundles with wireless links. The current upswing of electrically-propelled vehicles, Ales Prokes The Faculty of Electrical Engineering and Communication Brno University of Technology Brno kilometers of wires weighing easily up to 50 kg [1], while vehicle manufacturers appreciate weight savings

Zemen, Thomas

338

Modelling and control strategy development for fuel cell electric vehicles  

E-Print Network (OSTI)

and applied to the energy management of this FCEV, which allow fuel economy optimisation while keeping a good storage. It is essential for advanced vehicles to obtain a range comparable to that of mass production and maximize the energy stored onboard a vehicle. A stochastic dynamic programming algorithm was developed

Peng, Huei

339

Determining the Volatility of Ultrafine (UF) PM Emissions from CNG Vehicles  

E-Print Network (OSTI)

that reduce air pollution and greenhouse gas emissions beyond applicable standards, and that benefit natural health and environmental impacts from air pollution, and greenhouse gas emissions related to natural gas. Limited research has been done to characterize compressed natural gas (CNG) mass emissions and practically

340

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,

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

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

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

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

342

Vehicle Technologies Office: National Laboratories | Department...  

Office of Environmental Management (EM)

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

343

Comparison of PM emissions from a gasoline direct injected (GDI) vehicle and a port fuel injected (PFI) vehicle measured by electrical low pressure impactor (ELPI) with two fuels: Gasoline and M15 methanol gasoline  

Science Journals Connector (OSTI)

Two Euro 4 gasoline passenger vehicles (one gasoline direct injected vehicle and one port fuel injected vehicle) were tested over the cold start New European Driving Cycle (NEDC). Each vehicle was respectively fueled with gasoline and M15 methanol gasoline. Particle number concentrations were measured by the electrical low pressure impactor (ELPI). Particle masses were measured by gravimetric method and estimated from the number distributions using two density distributions (one is constant with the particle size and one is power law related with the size). The first 7 stages of ELPI were used for estimation. The results show that for each vehicle, PM masses measured by gravimetric method, the total PM numbers measured by ELPI and estimated PM masses for M15 are lower than those for gasoline. For each kind of fuel, PM masses by two methods and total PM numbers from the GDI vehicle are higher than those from the PFI one. PM number distribution curves of the four vehicle/fuel combinations are similar. All decline gradually and the maximum number of each curve occurs in the first stage. More than 99.9% numbers locate in the first 8 stages of which diameters are less than 1?m. PM number emissions correlate well with the acceleration of the two vehicles. The estimated particle masses were much lower than the gravimetric measurements.

Bin Liang; Yunshan Ge; Jianwei Tan; Xiukun Han; Liping Gao; Lijun Hao; Wentao Ye; Peipei Dai

2013-01-01T23:59:59.000Z

344

Microsimulation analysis of a hybrid system model of multiple merge junction highway and semiautomatic vehicles  

E-Print Network (OSTI)

Microsimulation analysis of a hybrid system model of multiple merge junction highway and semi Abstract In this paper we present a protocol that controls semi­automated autonomous vehicles driving is in the merge lane) and the yielding (the vehicle is in the main lane). We show a simulation study that presents

Girault, Alain

345

A versatile computer model for the design and analysis of electric and hybrid vehicles  

E-Print Network (OSTI)

The primary purpose of the work reported in this thesis was to develop a versatile computer model to facilitate the design and analysis of hybrid vehicle drive-trains. A hybrid vehicle is one in which power for propulsion comes from two distinct...

Stevens, Kenneth Michael

1996-01-01T23:59:59.000Z

346

Emissions Modeling: GREET Life Cycle Analysis  

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

agencies to evaluate fuel and vehicle technologies with respect to greenhouse gas (GHG) metrics 3 Approach, Data Sources, and General Assumptions Approach: build LCA...

347

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

348

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

349

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.

350

A High Temperature Direct Vehicle Exhaust Flowmeter for Heavy Duty Diesel Emission Measurements.  

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

Poster presented at the 16th Directions in Engine-Efficiency and Emissions Research (DEER) Conference in Detroit, MI, September 27-30, 2010.

351

Status of Heavy Vehicle Diesel Emission Control Sulfur Effects (DECSE) Test Program  

SciTech Connect

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

352

Vehicle Technologies Office: Directions in Engine-Efficiency and Emissions Research (DEER) Conference  

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

The Directions in Engine-Efficiency and Emissions Research (DEER) Conference gathers professionals in the engine community to share the latest in advanced combustion engine research and development...

353

Valuation of plug-in vehicle life-cycle air emissions and oil displacement benefits  

Science Journals Connector (OSTI)

...Litman and Doherty (82) estimate noise costs at $0.011mi ($2007) for an average car vs. $0.004mi for an electric car on an average driving time and location. At these rates, an electric vehicle could provide about $800 of additional...

Jeremy J. Michalek; Mikhail Chester; Paulina Jaramillo; Constantine Samaras; Ching-Shin Norman Shiau; Lester B. Lave

2011-01-01T23:59:59.000Z

354

Analyze Data to Evaluate Greenhouse Gas Emissions Profile for Vehicles and Mobile Equipment  

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

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.

355

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

E-Print Network (OSTI)

a small percentage of EV sales with the ZEV mandate). WithNow, a portion of the 10% EV sales mandate can be composedSales - High Produciton Volume Scenario Subcompact Vehicle Chassis Manufacturing Costs GM Ovonics Projection of Selling Prices of NiMH EV

Lipman, Timothy E.

1999-01-01T23:59:59.000Z

356

In-vehicle UWB Channel Measurement, Model and Spatial Stationarity  

E-Print Network (OSTI)

devices of the passengers with the vehicle. Considering the average weight of wire harness in modern- hicle's communication systems. Connection of moving parts, such as wheels for tyre pressure monitoring

Zemen, Thomas

357

AVCEM: Advanced-Vehicle Cost and Energy Use Model  

E-Print Network (OSTI)

stack); fuel-cell salvage value (fraction of initial coststack); total cost of vehicle electronics needed specifically for the fuel-cellcosts, expressed as a wage multiplier); specific weight of the fuel-cell stack (

Delucchi, Mark

2005-01-01T23:59:59.000Z

358

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

359

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

360

Vehicle Technologies Office Merit Review 2014: Vehicle Level Model and Control Development and Validation Under Various Thermal Conditions  

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

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

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

Fuel-economy and exhaust-emissions characteristics of diesel vehicles: test results of a prototype Chrysler Volare, 225 CID (3. 7-liter) automobile  

SciTech Connect

The results obtained from fuel economy and emission tests conducted on a prototype Chrysler Volare diesel vehicle are documented. The vehicle was tested on a chassis dynamometer over selected drive cycles and steady-state conditions. The fuel used, was a DOE/BETC referee fuel. Particulate emission rates were calculated from dilution tunnel measurements and large volume particulate samples were collected for biological and chemical analysis. The vehicle obtained 32.7 mpg for the FTP urban cycle and 48.8 mpg for the highway cycle. The emissions rates were 0.42/1.58/1.17/0.28 g/mile of hydrocarbon, CO, NO/sub x/ and particulates respectively.

Walter, R.A.

1982-07-01T23:59:59.000Z

362

Modelling and analysis of electric power steering system and its effect on vehicle dynamic behaviour  

Science Journals Connector (OSTI)

While most passenger vehicles equipped with power steering systems are hydraulic power assisted, Electric Power Steering (EPS) systems are becoming wide spread since they can afford higher fuel efficiency. This paper develops an integrated simulation of an EPS control system with a full vehicle model. Using co-simulation technique, a full vehicle model interacting with EPS control algorithm is concurrently simulated on a single bump road condition. The effects of EPS on the vehicle dynamic behaviour and handling responses resulting from steer and road input are analysed and compared with proving ground experimental data. The comparisons show reasonable agreement on tie-rod load, rack displacement, steering wheel torque and tyre centre acceleration. This developed co-simulation capability may be useful for EPS performance evaluation and calibration as well as for vehicle handling performance integration.

Y. Gene Liao; H. Isaac Du

2003-01-01T23:59:59.000Z

363

Vehicle Technologies Office: Propulsion Systems  

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

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

364

Emissions and fuel economy of a vehicle with a spark-ignition, direct-injection engine : Mitsubishi Legnum GDI{trademark}.  

SciTech Connect

A 1997 Mitsubishi Legnum station wagon with a 150-hp, 1.8-L, spark-ignition, direct-injection (SIDI) engine was tested for emissions by using the FTP-75, HWFET, SC03, and US06 test cycles and four different fuels. The purpose of the tests was to obtain fuel-economy and emissions data on SIDI vehicles and to compare the measurements obtained with those of a port-fuel-injection (PFI) vehicle. The PFI vehicle chosen for the comparison was a 1995 Dodge Neon, which meets the Partnership for a New Generation of Vehicles (PNGV) emissions goals of nonmethane hydrocarbons (NMHC) less than 0.125 g/mi, carbon monoxide (CO) less than 1.7 g/mi, nitrogen oxides (NO{sub x} ) less than 0.2 g/mi, and particulate matter (PM) less than 0.01 g/mi. The Mitsubishi was manufactured for sale in Japan and was not certified to meet current US emissions regulations. Results show that the SIDI vehicle can provide up to 24% better fuel economy than the PFI vehicle does, with correspondingly lower greenhouse gas emissions. The SIDI vehicle as designed does not meet the PNGV goals for NMHC or NO{sub x} emissions, but it does meet the goal for CO emissions. Meeting the goal for PM emissions appears to be contingent upon using low-sulfur fuel and an oxidation catalyst. One reason for the difficulty in meeting the NMHC and NO{sub x} goals is the slow (200 s) warm-up of the catalyst. Catalyst warm-up time is primarily a matter of design. The SIDI engine produces more NMHC and NO{sub x} than the PFI engine does, which puts a greater burden on the catalyst to meet the emissions goals than is the case with the PFI engine. Oxidation of NMHC is aided by unconsumed oxygen in the exhaust when the SIDI engine operates in stratified-charge mode, but the same unconsumed oxygen inhibits chemical reduction of NO{sub x} . Thus, meeting the NO{sub x} emissions goal is likely to be the greatest challenge for the SIDI engine.

Cole, R. L.; Poola, R. B.; Sekar, R.

1999-04-08T23:59:59.000Z

365

Optimal design and allocation of electrified vehicles and dedicated charging infrastructure for minimum life cycle greenhouse gas emissions and cost  

E-Print Network (OSTI)

Optimal design and allocation of electrified vehicles and dedicated charging infrastructure infrastructure in US fleet. c Under US grid mix, PEVs provide minor GHG reductions and work chargers do little. c vehicles Plug-in hybrid electric vehicles Hybrid electric vehicles a b s t r a c t Electrified vehicles can

Michalek, Jeremy J.

366

Graph Model for Carbon Dioxide Emissions from Metallurgical Plants  

Science Journals Connector (OSTI)

Mathematical models are presented for estimating carbon dioxide emissions from metallurgical processes. The article also presents ... in graph form to calculate transit and net emissions of carbon dioxide based o...

Yu. N. Chesnokov; V. G. Lisienko; A. V. Lapteva

2013-03-01T23:59:59.000Z

367

Electric vehicles energy consumption of car-following models  

Science Journals Connector (OSTI)

In this paper, we use the optimal velocity model, full velocity difference model, full velocity and acceleration difference model, and the car-following model with consideration of the traffic interruption probab...

Shichun Yang; Cheng Deng; Tieqiao Tang; Yongsheng Qian

2013-01-01T23:59:59.000Z

368

Vehicle Technologies Office Merit Review 2014: Validation of Material Models for Automotive Carbon Fiber Composite Structures  

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

Presentation given by General Motors at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about validation of material models...

369

Advances in Electric Drive Vehicle Modeling with Subsequent Experimentation and Analysis  

E-Print Network (OSTI)

coefficients in order to build a high-level, yet accurate state of charge prediction model. Moreover, this work utilizes automotive grade lithium-based batteries for realistic outcomes in the electrified vehicle realm. The fourth chapter describes an advanced...

Hausmann, Austin Joseph

2012-08-31T23:59:59.000Z

370

On-road emission factors of PM pollutants for light-duty vehicles (LDVs) based on urban street driving conditions  

Science Journals Connector (OSTI)

An on-road sampling campaign was conducted on two major surface streets (Wilshire and Sunset Boulevards) in Los Angeles, CA, to characterize PM components including metals, trace elements, and organic species for three PM size fractions (PM102.5, PM2.50.25, and PM0.25). Fuel-based emission factors (mass of pollutant per kg of fuel) were calculated to assess the emissions profile of a light-duty vehicle (LDV) traffic fleet characterized by stop-and-go driving conditions that are reflective of urban street driving. Emission factors for metals and trace elements were highest in PM102.5 while emission factors for \\{PAHs\\} and hopanes and steranes were highest in PM0.25. PM2.5 emission factors were also compared to previous freeway, roadway tunnel, and dynamometer studies based on an LDV fleet to determine how various environments and driving conditions may influence concentrations of PM components. The on-road sampling methodology deployed in the current study captured substantially higher levels of metals and trace elements associated with vehicular abrasion (Fe, Ca, Cu, and Ba) and crustal origins (Mg and Al) than previous LDV studies. The semi-volatile nature of \\{PAHs\\} resulted in higher levels of \\{PAHs\\} in the particulate phase for LDV tunnel studies (Phuleria etal., 2006) and lower levels of \\{PAHs\\} in the particulate phase for freeway studies (Ning etal., 2008). With the exception of a few high molecular weight PAHs, the current study's emission factors were in between the LDV tunnel and LDV freeway studies. In contrast, hopane and sterane emission factors were generally comparable between the current study, the LDV tunnel, and LDV freeway, as expected given the greater atmospheric stability of these organic compounds. Overall, the emission factors from the dynamometer studies for metals, trace elements, and organic species are lower than the current study. Lastly, n-alkanes (C19C40) were quantified and alkane carbon preference indices (CPIs) were determined to be in the range of 12, indicating substantial anthropogenic source contribution for surface streets in Los Angeles.

Winnie Kam; James W. Liacos; James J. Schauer; Ralph J. Delfino; Constantinos Sioutas

2012-01-01T23:59:59.000Z

371

Effects of Retrofitting Emission Control Systems on In-Use Heavy Diesel Vehicles  

E-Print Network (OSTI)

D. Carbonyl and nitrogen dioxide emissions from gasoline-in the exhaust to nitrogen dioxide (NO 2 ). NO 2 in turn ispollutants such as nitrogen dioxide (NO 2 ), nitrous acid (

Millstein, Dev E.; Harley, Robert A

2010-01-01T23:59:59.000Z

372

Valuation of plug-in vehicle life-cycle air emissions and oil displacement benefits  

Science Journals Connector (OSTI)

...emissions or oil consumption. Because such externality...associated with oil consumption. We compare externality and oil consumption costs to the costs...and no gasoline engine). We estimate...manufacturing, fuel cycle, and operation...

Jeremy J. Michalek; Mikhail Chester; Paulina Jaramillo; Constantine Samaras; Ching-Shin Norman Shiau; Lester B. Lave

2011-01-01T23:59:59.000Z

373

Development of a computational model for nuclear electric orbital transfer vehicles  

E-Print Network (OSTI)

DEVELOPMENT OF A COMPUTATIONAL MODEL FOR NUCLEAR ELECTRIC ORBITAL TRANSFER VEHICLES A Thesis by WILLIAM FOUNTAIN LYON III Submitted to the Office of Graduate Studies of Texas ARM University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE August 1989 Major Subject: Nuclear Engineering DEVELOPMENT OF A COMPUTATIONAL MODEL FOR NUCLEAR ELECTRIC ORBITAL TRANSFER VEHICLES A Thesis by WILLIAM FOUNTAIN LYON III Approved as to style and content by: K. L...

Lyon, William Fountain

2012-06-07T23:59:59.000Z

374

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

E-Print Network (OSTI)

INCIDENT DETECTION USING THE STANDARD iNORMAL DEVIATE MODEL AND TRAVEL TECHIE INFORMATION FROM PROBE VEHICLES A Thesis by CHRISTOPHER EUGENE MOUNTAIN Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment... of the requirement for the degree of MASTFR OF SCIENCE December 1993 Major Subject: Civil Engineering INCIDENT DETECTION USING THE STANDARD NORMAL DEVIATE MODEL AND TRAVEL TIME INFORMATION FROM PROBE VEHICLES A Thesis by CHRISTOPHER EUGENE MOUNTAIN Submitted...

Mountain, Christopher Eugene

2012-06-07T23:59:59.000Z

375

Development of a Heavy-Duty Diesel Modal Emissions and Fuel Consumption Model  

E-Print Network (OSTI)

that the diesel engines fuel consumption and emissions doEmissions and Fuel Consumption Model engine manufacturersEmissions and Fuel Consumption Model Connection to engine

Barth, Matthew; Younglove, Theodore; Scora, George

2005-01-01T23:59:59.000Z

376

Method of treating emissions of a hybrid vehicle with a hydrocarbon absorber and a catalyst bypass system  

DOE Patents (OSTI)

A method of treating emissions from an internal combustion engine of a hybrid vehicle includes directing a flow of air created by the internal combustion engine when the internal combustion engine is spinning but not being fueled through a hydrocarbon absorber to collect hydrocarbons within the flow of air. When the hydrocarbon absorber is full and unable to collect additional hydrocarbons, the flow of air is directed through an electrically heated catalyst to treat the flow of air and remove the hydrocarbons. When the hydrocarbon absorber is not full and able to collect additional hydrocarbons, the flow of air is directed through a bypass path that bypasses the electrically heated catalyst to conserve the thermal energy stored within the electrically heated catalyst.

Roos, Bryan Nathaniel; Gonze, Eugene V; Santoso, Halim G; Spohn, Brian L

2014-01-14T23:59:59.000Z

377

Advanced quadrupole ion trap instrumentation for low level vehicle emissions measurements. CRADA final report for number ORNL93-0238  

SciTech Connect

Quadrupole ion trap mass spectrometry has been evaluated for its potential use in vehicle emissions measurements in vehicle test facilities as an analyzer for the top 15 compounds contributing to smog generation. A variety of ionization methods were explored including ion trap in situ chemical ionization, atmospheric sampling glow discharge ionization, and nitric oxide chemical ionization in a glow discharge ionization source coupled with anion trap mass spectrometer. Emphasis was placed on the determination of hydrocarbons and oxygenated hydrocarbons at parts per million to parts per billion levels. Ion trap in situ water chemical ionization and atmospheric sampling glow discharge ionization were both shown to be amenable to the analysis of arenes, alcohols, aldehydes and, to some degree, alkenes. Atmospheric sampling glow discharge also generated molecular ions of methyl-t-butyl ether (MTBE). Neither of these ionization methods, however, were found to generate diagnostic ions for the alkanes. Nitric oxide chemical ionization, on the other hand, was found to yield diagnostic ions for alkanes, alkenes, arenes, alcohols, aldehydes, and MTBE. The ability to measure a variety of hydrocarbons present at roughly 15 parts per billion at measurement rates of 3 Hz was demonstrated. These results have demonstrated that the ion trap has an excellent combination of sensitivity, specificity, speed, and flexibility with respect to the technical requirements of the top 15 analyzer.

McLuckey, S.A.; Buchanan, M.V.; Asano, K.G.; Hart, K.J.; Goeringer, D.E. [Oak Ridge National Lab., TN (United States); Dearth, M.A. [Ford Motor Co., Dearborn, MI (United States). Environmental Research Consortium

1997-09-01T23:59:59.000Z

378

Uncertainty in emissions projections for climate models  

E-Print Network (OSTI)

Future global climate projections are subject to large uncertainties. Major sources of this uncertainty are projections of anthropogenic emissions. We evaluate the uncertainty in future anthropogenic emissions using a ...

Webster, Mort David.; Babiker, Mustafa H.M.; Mayer, Monika.; Reilly, John M.; Harnisch, Jochen.; Hyman, Robert C.; Sarofim, Marcus C.; Wang, Chien.

379

Model Identification for Optimal Diesel Emissions Control  

SciTech Connect

In this paper we develop a model based con- troller for diesel emission reduction using system identification methods. Specifically, our method minimizes the downstream readings from a production NOx sensor while injecting a minimal amount of urea upstream. Based on the linear quadratic estimator we derive the closed form solution to a cost function that accounts for the case some of the system inputs are not controllable. Our cost function can also be tuned to trade-off between input usage and output optimization. Our approach performs better than a production controller in simulation. Our NOx conversion efficiency was 92.7% while the production controller achieved 92.4%. For NH3 conversion, our efficiency was 98.7% compared to 88.5% for the production controller.

Stevens, Andrew J.; Sun, Yannan; Song, Xiaobo; Parker, Gordon

2013-06-20T23:59:59.000Z

380

Light-duty vehicle mpg and market shares report, model year 1988  

SciTech Connect

This issue of Light-Duty Vehicle MPG and Market Shares Report: Model Year 1988 reports the estimated sales-weighted fuel economies, sales, market shares, and other vehicle characteristics of automobiles and light trucks. The estimates are made on a make and model basis, from model year 1976 to model year 1988. Vehicle sales data are used as weighting factors in the sales-weighted estimation procedure. Thus, the estimates represent averages of the overall new vehicle fleet, reflecting the composition of the fleet. Highlights are provided on the trends in the vehicle characteristics from one model year to the next. Analyses are also made on the fuel economy changes to determine the factors which caused the changes. The sales-weighted fuel economy for the new car fleet in model year 1988 showed an improvement of 0.1 mpg from model year 1987, while light trucks showed a 0.2 mpg loss. The 0.2 mpg loss by the light trucks can be attributed to the fact that every light truck size class experienced either losses or no change in their fuel economies from the previous model year, except for the large van size class. Overall, the sales-weighted fuel economy of the entire light-duty vehicle fleet (automobiles and light trucks combined) has remained relatively stable since model year 1986. Domestic light-duty vehicles began to gain popularity over their import counterparts; and light trucks increased their market shares relative to automobiles. Domestic cars regained 0.3% of the automobile market, reversing the previous trend. Similar to the automobile market, domestic light trucks continued to gain popularity over their import counterparts, partly due to the increasing popularity of domestic small vans. 3 refs., 35 figs., 48 tabs.

Hu, P.S.; Williams, L.S.; Beal, D.J.

1989-04-01T23:59:59.000Z

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.


381

Estimating Emissions in Latin America: An Alternative to Traffic Models  

E-Print Network (OSTI)

Estimating Emissions in Latin America: An Alternative to Traffic Models Margarita Ossés de Eicker; Hans Hurni, Centre for Development and Environment (CDE), University of Bern, Switzerland Emissions allow precise estimations of these emissions but are too expensive for a broad application. A simplifed

Richner, Heinz

382

Constraining Emission Models of Luminous Blazar Sources  

SciTech Connect

Many luminous blazars which are associated with quasar-type active galactic nuclei display broad-band spectra characterized by a large luminosity ratio of their high-energy ({gamma}-ray) and low-energy (synchrotron) spectral components. This large ratio, reaching values up to 100, challenges the standard synchrotron self-Compton models by means of substantial departures from the minimum power condition. Luminous blazars have also typically very hard X-ray spectra, and those in turn seem to challenge hadronic scenarios for the high energy blazar emission. As shown in this paper, no such problems are faced by the models which involve Comptonization of radiation provided by a broad-line-region, or dusty molecular torus. The lack or weakness of bulk Compton and Klein-Nishina features indicated by the presently available data favors production of {gamma}-rays via up-scattering of infrared photons from hot dust. This implies that the blazar emission zone is located at parsec-scale distances from the nucleus, and as such is possibly associated with the extended, quasi-stationary reconfinement shocks formed in relativistic outflows. This scenario predicts characteristic timescales for flux changes in luminous blazars to be days/weeks, consistent with the variability patterns observed in such systems at infrared, optical and {gamma}-ray frequencies. We also propose that the parsec-scale blazar activity can be occasionally accompanied by dissipative events taking place at sub-parsec distances and powered by internal shocks and/or reconnection of magnetic fields. These could account for the multiwavelength intra-day flares occasionally observed in powerful blazars sources.

Sikora, Marek; /Warsaw, Copernicus Astron. Ctr.; Stawarz, Lukasz; /Kipac, Menlo Park /Jagiellonian U., Astron. Observ. /SLAC; Moderski, Rafal; Nalewajko, Krzysztof; /Warsaw, Copernicus Astron. Ctr.; Madejski, Greg; /KIPAC, Menlo Park /SLAC

2009-10-30T23:59:59.000Z

383

The realisation of an on-board emission measuring system serving as a R&D tool for ultra low emitting vehicles  

Science Journals Connector (OSTI)

The negative impact of deteriorating air quality on public health etc. is receiving growing attention. As a result, the contributing emission sources are increasingly regulated. Thus, the emissions of road transport - being one of the largest contributors - are under constant pressure. As such, the evolving legislation on emissions of new cars is forcing to ultra low emitting vehicles. To assist in the development of those vehicles an on-board measuring system capable of determining ppm level emissions of carbon monoxide (CO), total hydrocarbons (THC) and nitrogen oxides (NOx) is realised. This system combines the latest in laboratory grade analysers with a high speed condensing type sampling system in a state of the-art shock proof design. The regulated emission components can be detected to at least one ppm. The data-acquisition allows for the simultaneous retrieval of engine and vehicle parameters in order to calculate on-line mass based time resolved emissions that can be quickly linked to relevant parameters of the emission control system. The data treatment is automated under LabView. The on-board system is validated by over 130 comparative simultaneous measurements on a Constant Volume Sampling chassis dynamometer. The tests are executed on three modern light duty vehicles of which one ultra low emitting Euro 4 certified petrol one. The comparison revealed that differences in emissions are below 10% except for very low levels i.e. underneath 0.02 g/km where the reference system is thought to be more inaccurate then the on-board one. On-board emission measurements performed on a Euro 4 petrol vehicle showed differences of more then a decade when compared to the type approval cycle on chassis dynamometer. An in-depth analysis revealed that, outside this cycle, the engine can be differently calibrated resulting in deviations from the stoichiometric air to fuel ratio and subsequent raise in emissions. Also, very short emission events could be studied such as NOx raise during accelerations immediately following a motoring period. This could be attributed to a slightly lean air fuel mixture just at the start of fuel injection.

G. Lenaers; L. Pelkmans; P. Debal

2003-01-01T23:59:59.000Z

384

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)

of diesel- and gasoline-powered vehicle emissions in Mexico City D. A. Thornhill, A. E. Williams, T. B be low. The second figure shows the background versus diesel factors. There may be a slight horizontal factors. In this case, even when the diesel factor's contributions are very high, the background factor

Meskhidze, Nicholas

385

Well-to-Wheel Energy, Emissions, and Cost Analysis of Electricity and Fuel Used in Conventional and Electrified Vehicles, and Their Connection to a Sustainable Energy Infrastructure  

E-Print Network (OSTI)

produced in creating the electricity through a full Life Cycle Analysis. As a result, proper comparison of electrified and conventional vehicles must include a complete Well-to-Wheel (WtW) study including the emissions generated through production and use...

Strecker, Bryan Anthony

2012-12-31T23:59:59.000Z

386

Artificial neural network modelling of driver handling behaviour in a driver-vehicle-environment system  

Science Journals Connector (OSTI)

Modelling driver handling behaviour in a driver-vehicle-environment (DVE) system is essentially useful for the design of vehicle systems and transport systems in the light of the safety and efficiency of human mobility. Driver handling behaviour is reflected in two aspects: the mental workload and the performance. Further, this behaviour is exposed through the interactions between driver-vehicle and driver-environment. There is generally a lack of the first principle with which to develop a model for human behaviour. In this study, several more sophisticated artificial neural network architectures for developing models for human drivers in a DVE system were used. The vehicle dynamics are modelled by a 3-d.o.f. model derived from the first principle. The experiment was performed and compared with a DVE simulation system in which the developed human driver behaviour model was included, together with the vehicle dynamics model. The comparative study showed that the simulation result is in good agreement with the experimental result, which further justifies the effectiveness of the developed driver behaviour model.

Y. Lin; P. Tang; W.J. Zhang; Q. Yu

2005-01-01T23:59:59.000Z

387

Influence of driving patterns on life cycle cost and emissions of hybrid and plug-in electric vehicle powertrains  

E-Print Network (OSTI)

that could be powered entirely by electricity using plug- in vehicles. Thus, plug-in vehicles have assessment Plug-in hybrid electric vehicles a b s t r a c t We compare the potential of hybrid, extended-range plug-in hybrid, and battery electric vehicles to reduce lifetime cost and life cycle greenhouse gas

Michalek, Jeremy J.

388

Valuation of plug-in vehicle life-cycle air emissions and oil displacement benefits  

Science Journals Connector (OSTI)

...realistic mass-market alternative and an...greater use of diesel, and shorter driving...required. Gasoline, diesel, liquefied petroleum...impacts on global markets (see for example...depending on secondary markets. GREET 2.7a pulls...emissions (e.g., diesel fuel combus-tion...

Jeremy J. Michalek; Mikhail Chester; Paulina Jaramillo; Constantine Samaras; Ching-Shin Norman Shiau; Lester B. Lave

2011-01-01T23:59:59.000Z

389

Temperature dependence of volatile organic compound evaporative emissions from motor vehicles  

E-Print Network (OSTI)

gasoline samples collected at Sacramento area service stations. Vapor-liquid equilibrium relationships were summer 2001. Additional gasoline- related VOC emissions not shown in Figure 1 occur at service stations gasoline permeation through rubber and plastic components of the fuel system. [3] EMFAC [California Air

Silver, Whendee

390

Vehicle Cost Calculator | Open Energy Information  

Open Energy Info (EERE)

Vehicle Cost Calculator Vehicle Cost Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Vehicle Cost Calculator Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Transportation Phase: Evaluate Options Resource Type: Online calculator User Interface: Website Website: www.afdc.energy.gov/calc/ Web Application Link: www.afdc.energy.gov/calc/ OpenEI Keyword(s): Energy Efficiency and Renewable Energy (EERE) Tools Language: English References: Vehicle Cost Calculator[1] Logo: Vehicle Cost Calculator Calculate the total cost of ownership and emissions for makes and models of most vehicles, including alternative fuel and advanced technology vehicles. Overview This tool uses basic information about your driving habits to calculate

391

Climate and Energy Policy for U.S. Passenger Vehicles: A Technology-Rich Economic Modeling and Policy Analysis  

E-Print Network (OSTI)

-based relationship between income growth and travel demand, turnover of the vehicle stock, and cost-driven investment both in reduction of internal combustion engine (ICE) vehicle fuel consumption as well as in adoptionClimate and Energy Policy for U.S. Passenger Vehicles: A Technology-Rich Economic Modeling

392

A Discrete Event Simulation Model for "Efficient Selection of Relay Vehicles for  

E-Print Network (OSTI)

1 A Discrete Event Simulation Model for "Efficient Selection of Relay Vehicles for Broadcasting discrete event-driven simulation model for DIB and EDIB protocols on VANET. We define six types of events the ACK message to the sender. The following variables are used in the simulation model: · vehs stores

Lin, Jason Yi-Bing

393

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

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

Requirement Definition for PHEVs Requirement Definition for PHEVs One of the main objectives of the U.S. Department of Energy's (DOE's) Plug-in Hybrid Electric Vehicle R&D Plan (2.2Mb pdf) is to "determine component development requirements" through simulation analysis. PSAT has been used to design and evaluate a series of PHEVs to define the requirements of different components, focusing on the energy storage system's power and energy. Several vehicle classes (including midsize car, crossover SUV and midsize SUV) and All Electric Range (AER from 10 to 40 miles) were considered. The preliminary simulations were performed at Argonne using a pre-transmission parallel hybrid configuration with an energy storage system sized to run the Urban Dynanometer Driving Schedule (UDDS) in electric mode. Additional powertrain configurations and sizing algorithm are currently being considered. Trade-off studies are being performed as ways to achieve some level of performance while easing requirements on one area or another. As shown in the figure below, the FreedomCAR Energy Storage Technical Team selected a short term and a long term All Electric Range (AER) goals based on several vehicle simulations.

394

Diesel Vehicles  

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

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

395

General Equilibrium Emissions Model (GEEM) | Open Energy Information  

Open Energy Info (EERE)

General Equilibrium Emissions Model (GEEM) General Equilibrium Emissions Model (GEEM) Jump to: navigation, search Tool Summary Name: General Equilibrium Emissions Model (GEEM) Agency/Company /Organization: International Institute for Sustainable Development (IISD) Sector: Climate, Energy Focus Area: Renewable Energy, Non-renewable Energy, Agriculture, Buildings, Economic Development, Energy Efficiency, Forestry, Goods and Materials, Greenhouse Gas, Industry, Offsets and Certificates, Transportation Topics: Background analysis, Baseline projection, GHG inventory, Low emission development planning, Market analysis, Pathways analysis, Policies/deployment programs, Technology characterizations Country: Kenya, Thailand UN Region: Eastern Africa, Caribbean Coordinates: 13.7240216°, 100.5798602°

396

Real-world fuel consumption and CO2 (carbon dioxide) emissions by driving conditions for light-duty passenger vehicles in China  

Science Journals Connector (OSTI)

Abstract The increasing discrepancy between on-road and type-approval fuel consumption for \\{LDPVs\\} (light-duty passenger vehicles) has attracted tremendous attention. We measured on-road emissions for 60 \\{LDPVs\\} in three China's cities and calculated their fuel consumption and CO2 (carbon dioxide) emissions. We further evaluated the impacts of variations in area-averaged speed on relative fuel consumption of gasoline \\{LDPVs\\} for the UAB (urban area of Beijing). On-road fuel consumption under the average driving pattern is 102% higher than that normalized to the NEDC (new European driving cycle) cycle for all tested vehicles, and the on-road NEDC-normalized fuel consumption is higher by 3012% compared to type-approval values for gasoline vehicles. We observed very strong correlations between relative fuel consumption and average speed. Traffic control applied to \\{LDPVs\\} driving within the UAB during weekdays can substantially reduce total fleet fuel consumption by 235% during restriction hours by limiting vehicle use and improving driving conditions. Our results confirmed that a new cycle for the type approval test for \\{LDPVs\\} with more real-world driving features is of great necessity. Furthermore, enhanced traffic control measures could play an important role in mitigating real-world fuel consumption and CO2 emissions for \\{LDPVs\\} in China.

Shaojun Zhang; Ye Wu; Huan Liu; Ruikun Huang; Puikei Un; Yu Zhou; Lixin Fu; Jiming Hao

2014-01-01T23:59:59.000Z

397

Gamma ray burst emission: A jet and fireball model  

Science Journals Connector (OSTI)

We discuss some of the properties problems and implications of the jet and fireball model of gamma ray burst emission. This model was suggested by constraints on the opacity of MeV photons to photon?photon pair production.

Richard E. Lingenfelter; Geoffrey J. Hueter

1984-01-01T23:59:59.000Z

398

Clean Cities 2012 Vehicle Buyer's Guide (Brochure)  

SciTech Connect

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

Not Available

2012-03-01T23:59:59.000Z

399

Response Surface Energy Modeling of an Electric Vehicle over a Reduced Composite Drive Cycle  

SciTech Connect

Response surface methodology (RSM) techniques were applied to develop a predictive model of electric vehicle (EV) energy consumption over the Environmental Protection Agency's (EPA) standardized drive cycles. The model is based on measurements from a synthetic composite drive cycle. The synthetic drive cycle is a minimized statistical composite of the standardized urban (UDDS), highway (HWFET), and US06 cycles. The composite synthetic drive cycle is 20 minutes in length thereby reducing testing time of the three standard EPA cycles by over 55%. Vehicle speed and acceleration were used as model inputs for a third order least squared regression model predicting vehicle battery power output as a function of the drive cycle. The approach reduced three cycles and 46 minutes of drive time to a single test of 20 minutes. Application of response surface modeling to the synthetic drive cycle is shown to predict energy consumption of the three EPA cycles within 2.6% of the actual measured values. Additionally, the response model may be used to predict energy consumption of any cycle within the speed/acceleration envelope of the synthetic cycle. This technique results in reducing test time, which additionally provides a model that may be used to expand the analysis and understanding of the vehicle under consideration.

Jehlik, Forrest [Argonne National Laboratory (ANL)] [Argonne National Laboratory (ANL); LaClair, Tim J [ORNL] [ORNL

2014-01-01T23:59:59.000Z

400

Valuation of plug-in vehicle life-cycle air emissions and oil displacement benefits  

Science Journals Connector (OSTI)

...to support ethanol and bio-diesel fuels. The 2007 Energy...allocation is required. Gasoline, diesel, liquefied petroleum gas...models and/or com-putable general equilibrium models with associated...including ethylene glycol (engine coolant), engine oil, power...

Jeremy J. Michalek; Mikhail Chester; Paulina Jaramillo; Constantine Samaras; Ching-Shin Norman Shiau; Lester B. Lave

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.


401

Vehicle Technologies Office: 2012 Fuel and Lubricant Technologies...  

Energy Savers (EERE)

2008-2009 Fuels Technologies R&D Progress Report Vehicles Home About Vehicle Technologies Office Plug-in Electric Vehicles & Batteries Fuel Efficiency & Emissions Alternative Fuels...

402

Vehicle Technologies Office Merit Review 2014: Hydrogen Fuel...  

Energy Savers (EERE)

Vehicle Technologies Office Merit Review 2014: Hydrogen Fuel-Cell Electric Hybrid Truck & Zero Emission Delivery Vehicle Deployment Vehicle Technologies Office Merit Review 2014:...

403

Plug-In Hybrid Electric Vehicles - PHEV Modeling - Powertrain Configuration  

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

Impact of Powertrain Configuration on Fuel Efficiency To evaluate the fuel efficiency potential of plug-in hybrid electric vehicles, it is necessary to compare the advantages and drawbacks of several powertrain configurations, ranging from power split to parallel and series. PSAT offers the unique ability to simulate and compare hundreds of powertrain configurations. The goal of the effort is to define the most promising configurations depending on the particular usage. Component sizes, fuel efficiency and cost will be used to make appropriate decisions. The configurations currently being considered include, but are not limited to: Pre-transmission parallel HEV Post-transmission parallel HEV Power split HEV (including THS II and GM 2 Mode) Series The figure below shows an example comparison of three powertrain configurations (parallel, series and power split).

404

Plug-In Hybrid Electric Vehicles - PHEV Modeling - Control Strategy  

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

Control Strategy Assessment of PHEVs Control Strategy Assessment of PHEVs A generic global optimization algorithm for plug-in hybrid electric vehicle (PHEV) powertrain flows has been developed based on the Bellman optimality principle. Optimization results are used to isolate control patterns, both dependent and independent of the cycle characteristics, in order to develop real-time control strategies in Simulink/Stateflow. These controllers are then implemented in PSAT to validate their performances. Heuristic optimization algorithms (such as DIRECT or genetic algorithms) are then used to tune the parameters of the real-time controller implemented in PSAT. The control strategy development process is described below. PHEV control strategy development process diagram Control Strategy Development Process

405

Global Assessment of Hydrogen Technologies - Task 2 Report Comparison of Performance and Emissions from Near-Term Hydrogen Fueled Light Duty Vehicles  

SciTech Connect

An investigation was conducted on the emissions and efficiency from hydrogen blended compressed natural gas (CNG) in light duty vehicles. The different blends used in this investigation were 0%, 15%, 30%, 50%, 80%, 95%, and ~100% hydrogen, the remainder being compressed natural gas. The blends were tested using a Ford F-150 and a Chevrolet Silverado truck supplied by Arizona Public Services. Tests on emissions were performed using four different driving condition tests. Previous investigation by Don Karner and James Frankfort on a similar Ford F-150 using a 30% hydrogen blend showed that there was substantial reduction when compared to gasoline in carbon monoxide (CO), nitrogen oxide (NOx), and carbon dioxide (CO2) emissions while the reduction in hydrocarbon (HC) emissions was minimal. This investigation was performed using different blends of CNG and hydrogen to evaluate the emissions reducing capabilities associated with the use of the different fuel blends. The results were then tested statistically to confirm or reject the hypotheses on the emission reduction capabilities. Statistically analysis was performed on the test results to determine whether hydrogen concentration in the HCNG had any effect on the emissions and the fuel efficiency. It was found that emissions from hydrogen blended compressed natural gas were a function of driving condition employed. Emissions were found to be dependent on the concentration of hydrogen in the compressed natural gas fuel blend.

Fouad, Fouad H.; Peters, Robert W.; Sisiopiku, Virginia P.; Sullivan Andrew J.; Ng, Henry K.; Waller, Thomas

2007-12-01T23:59:59.000Z

406

Application of Finite Mixture Models for Vehicle Crash Data Analysis  

E-Print Network (OSTI)

heterogeneity through the use of finite mixture regression models. A Finite mixture of Poisson or NB regression models is especially useful when the count data were generated from a heterogeneous population. To evaluate these models, Poisson and NB mixture...

Park, Byung Jung

2010-07-14T23:59:59.000Z

407

Heavy Duty Vehicle Futures Analysis.  

SciTech Connect

This report describes work performed for an Early Career Research and Development project. This project developed a heavy-duty vehicle (HDV) sector model to assess the factors influencing alternative fuel and efficiency technology adoption. This model builds on a Sandia light duty vehicle sector model and provides a platform for assessing potential impacts of technological advancements developed at the Combustion Research Facility. Alternative fuel and technology adoption modeling is typically developed around a small set of scenarios. This HDV sector model segments the HDV sector and parameterizes input values, such as fuel prices, efficiencies, and vehicle costs. This parameterization enables sensitivity and trade space analyses to identify the inputs that are most associated with outputs of interest, such as diesel consumption and greenhouse gas emissions. Thus this analysis tool enables identification of the most significant HDV sector drivers that can be used to support energy security and climate change goals.

Askin, Amanda Christine; Barter, Garrett; West, Todd H.; Manley, Dawn Kataoka

2014-05-01T23:59:59.000Z

408

An agent-based model to study market penetration of plug-in hybrid electric vehicles  

Science Journals Connector (OSTI)

A spatially explicit agent-based vehicle consumer choice model is developed to explore sensitivities and nonlinear interactions between various potential influences on plug-in hybrid vehicle (PHEV) market penetration. The model accounts for spatial and social effects (including threshold effects, homophily, and conformity) and media influences. Preliminary simulations demonstrate how such a model could be used to identify nonlinear interactions among potential leverage points, inform policies affecting PHEV market penetration, and help identify future data collection necessary to more accurately model the system. We examine sensitivity of the model to gasoline prices, to accuracy in estimation of fuel costs, to agent willingness to adopt the PHEV technology, to PHEV purchase price and rebates, to PHEV battery range, and to heuristic values related to gasoline usage. Our simulations indicate that PHEV market penetration could be enhanced significantly by providing consumers with ready estimates of expected lifetime fuel costs associated with different vehicles (e.g., on vehicle stickers), and that increases in gasoline prices could nonlinearly magnify the impact on fleet efficiency. We also infer that a potential synergy from a gasoline tax with proceeds is used to fund research into longer-range lower-cost PHEV batteries.

Margaret J. Eppstein; David K. Grover; Jeffrey S. Marshall; Donna M. Rizzo

2011-01-01T23:59:59.000Z

409

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

E-Print Network (OSTI)

NGV active in model (CNG) CNG LNG Compressed hydrogen (CH2)n.a. Diesel mix n.a. MeOH CNG LNG CH2 LH2 Ethanol LPG MeOH == compressed natural gas, LNG = liquefied natural gas, CH2 =

Delucchi, Mark

2005-01-01T23:59:59.000Z

410

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

E-Print Network (OSTI)

NGV active in model (CNG) CNG LNG Compressed hydrogen (CH2)n.a. Diesel mix n.a. MeOH CNG LNG CH2 LH2 Ethanol LPG MeOH == compressed natural gas, LNG = liquefied natural gas, CH2 =

Delucchi, Mark

2005-01-01T23:59:59.000Z

411

Queuing Models of Airport Departure Processes for Emissions Reduction  

E-Print Network (OSTI)

is validated through a comparison of its predictions with observed data at Boston's Logan International AirportQueuing Models of Airport Departure Processes for Emissions Reduction Ioannis Simaiakis burn and emissions at airports. This paper investigates the possibility of reducing fuel burn

Gummadi, Ramakrishna

412

Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles  

E-Print Network (OSTI)

for forecasting demand for alternative-fuel vehicles. In:preferences for alternative-fuel vehicles David Brownstonespondents' preferences for alternative-fuel vehicles. The e

Brownston, David; Bunch, David S.; Train, Kenneth

1999-01-01T23:59:59.000Z

413

Energy 101: Electric Vehicles  

ScienceCinema (OSTI)

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

None

2013-05-29T23:59:59.000Z

414

Progress on DOE Vehicle Technologies Light-Duty Diesel Engine...  

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

DOE Vehicle Technologies Light-Duty Diesel Engine Efficiency and Emissions Milestones Progress on DOE Vehicle Technologies Light-Duty Diesel Engine Efficiency and Emissions...

415

Integrated Virtual Lab in Supporting Heavy Duty Engine and Vehicle...  

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

Virtual Lab in Supporting Heavy Duty Engine and Vehicle Emission Rulemaking Integrated Virtual Lab in Supporting Heavy Duty Engine and Vehicle Emission Rulemaking Presentation...

416

Lifecycle-analysis for heavy vehicles.  

SciTech Connect

Various alternative fuels and improved engine and vehicle systems have been proposed in order to reduce emissions and energy use associated with heavy vehicles (predominantly trucks). For example, oil companies have proposed improved methods for converting natural gas to zero-aromatics, zero-sulfur diesel fuel via the Fischer-Tropsch process. Major heavy-duty diesel engine companies are working on ways to simultaneously reduce particulate-matter and NOX emissions. The trend in heavy vehicles is toward use of lightweight materials, tires with lower rolling resistance, and treatments to reduce aerodynamic drag. In this paper, we compare the Mecycle energy use and emissions from trucks using selected alternatives, such as Fisher-Tropsch diesel fuel and advanced fuel-efficient engines. We consider heavy-duty, Class 8 tractor-semitrailer combinations for this analysis. The total life cycle includes production and recycling of the vehicle itself, extraction, processing, and transportation of the fuel itself, and vehicle operation and maintenance. Energy use is considered in toto, as well as those portions that are imported, domestic, and renewable. Emissions of interest include greenhouse gases and criteria pollutants. Angonne's Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation (GREET) model is used to generate per-vehicle fuel cycle impacts. Energy use and emissions for materials manufacturing and vehicle disposal are estimated by means of materials information from Argonne studies. We conclude that there are trade-offs among impacts. For example, the lowest fossil energy use does not necessarily result in lowest total energy use, and lower tailpipe emissions may not necessarily result in lower lifecycle emissions of all criteria pollutants.

Gaines, L.

1998-04-16T23:59:59.000Z

417

Effect of Intake Air Filter Condition on Light-Duty Gasoline Vehicles  

SciTech Connect

Proper maintenance can help vehicles perform as designed, positively affecting fuel economy, emissions, and the overall drivability. This effort investigates the effect of one maintenance factor, intake air filter replacement, with primary focus on vehicle fuel economy, but also examining emissions and performance. Older studies, dealing with carbureted gasoline vehicles, have indicated that replacing a clogged or dirty air filter can improve vehicle fuel economy and conversely that a dirty air filter can be significantly detrimental to fuel economy. The effect of clogged air filters on the fuel economy, acceleration and emissions of five gasoline fueled vehicles is examined. Four of these were modern vehicles, featuring closed-loop control and ranging in model year from 2003 to 2007. Three vehicles were powered by naturally aspirated, port fuel injection (PFI) engines of differing size and cylinder configuration: an inline 4, a V6 and a V8. A turbocharged inline 4-cylinder gasoline direct injection (GDI) engine powered vehicle was the fourth modern gasoline vehicle tested. A vintage 1972 vehicle equipped with a carburetor (open-loop control) was also examined. Results reveal insignificant fuel economy and emissions sensitivity of modern vehicles to air filter condition, but measureable effects on the 1972 vehicle. All vehicles experienced a measured acceleration performance penalty with clogged intake air filters.

Thomas, John F [ORNL] [ORNL; Huff, Shean P [ORNL] [ORNL; West, Brian H [ORNL] [ORNL; Norman, Kevin M [ORNL] [ORNL

2012-01-01T23:59:59.000Z

418

Semantic Modeling of the Emissions Trading System  

Science Journals Connector (OSTI)

Fight against global warming is a tough challenge requiring synergic efforts from governments, industry and scientific communities. Facing these challenges by means of sectorial or local approaches is a loosing strategy. A holistic approach is required ... Keywords: Low Carbon Society, Emissions Trading System, Ontology, Rules, Semantic Services

Cecilia Camporeale; Antonio De Nicola; Vittorio Rosato; Maria Luisa Villani; Umberto Ciorba

2013-08-01T23:59:59.000Z

419

MIT Emissions Prediction and Policy Analysis (EPPA) Model | Open Energy  

Open Energy Info (EERE)

MIT Emissions Prediction and Policy Analysis (EPPA) Model MIT Emissions Prediction and Policy Analysis (EPPA) Model 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: MIT Emissions Prediction and Policy Analysis (EPPA) Model Agency/Company /Organization: Massachusetts Institute of Technology (MIT) Topics: Analysis Tools Complexity/Ease of Use: Not Available Website: dspace.mit.edu/handle/1721.1/29790 Cost: Free Related Tools IGES GHG Calculator For Solid Waste Energy and Power Evaluation Program (ENPEP) Regional Economic Models, Inc. (REMI) Model ... further results The part of the MIT Integrated Global Systems Model (IGSM) that represents human systems; a recursive-dynamic multi-regional general equilibrium model

420

NREL: Vehicles and Fuels Research - Capabilities  

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

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

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

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

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

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

422

Vehicle Technologies Office Merit Review 2014: Development and Update of Long-Term Energy and GHG Emission Macroeconomic Accounting Tool  

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

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

423

Vehicle Technologies Office Merit Review 2014: Advanced Nanolubricants for Improved Energy Efficiency and Reduced Emissions in Engines  

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

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

424

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

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

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

425

Hybrid Electric Vehicle Testing  

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

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

426

Transient modeling and validation of lithium ion battery pack with air cooled thermal management system for electric vehicles  

Science Journals Connector (OSTI)

A transient numerical model of a lithium ion battery (LiB) pack with air cooled thermal management system is developed and validated for electric vehicle applications. In the battery model, the open circuit volta...

G. Y. Cho; J. W. Choi; J. H. Park; S. W. Cha

2014-08-01T23:59:59.000Z

427

NREL: Vehicle Ancillary Loads Reduction - Thermal Comfort Model  

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

Comfort Model Comfort Model Photo of human testing to determine thermal comfort perception data. Photo of human testing to determine thermal comfort perception data. Working with researchers at the University of California, Berkeley, our team at NREL developed an empirical model of people's temperature sensation (hot/cold) as well as perceptions (comfortable/uncomfortable) in a transient non-homogeneous environment. The model predicts sensation and comfort locally (at specific points on the body) as well as globally (overall). The university performed more than 100 tests on human test subjects in a controlled environmental chamber under a range of steady state and transient thermal conditions. Participants subjectively recorded their thermal comfort on a simple form. Core and local skin temperature data was

428

Coordinated EV Adoption: Double-Digit Reductions in Emissions and Fuel Use for $40/Vehicle-Year  

Science Journals Connector (OSTI)

The Eastern Interconnection comprises six regions, each of which are modeled separately in this study: Florida Reliability Coordinating Council (FRCC), Southeast Electric Reliability Council (SERC), Reliability First Corporation (RFC), Southwest Power Pool (SPP), and United States portions of Midwest Reliability Organization (MRO) and Northeast Power Coordinating Council (NPCC). ... The linking of CV fuel efficiency standards with EV adoption rates does provide flexibility in meeting the standard and may also support development and adoption of EV technologies. ... using COPERT software: 167112 TJ of fossil fuel energy, 12213 kton of CO2 emission and 141 kton of CO, 20 kton of HC, 46 kton of NOx and 3 kton of PM. ...

Dong Gu Choi; Frank Kreikebaum; Valerie M. Thomas; Deepak Divan

2013-07-22T23:59:59.000Z

429

Model Year 2010 Green Vehicle Guide Model Displ Cyl Trans Drive  

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

Green Vehicle Guide Green Vehicle Guide 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 MDX 3.7 6 SemiAuto-6 4WD Gasoline CA U2 California LEV-II ULEV AHNXT03.7W19 SUV 7 16 21 18 4 no ACURA MDX 3.7 6 SemiAuto-6 4WD Gasoline FA B5 Federal Tier 2 Bin 5 AHNXT03.7W19 SUV 6 16 21 18 4 no ACURA RDX 2.3 4 SemiAuto-5 2WD Gasoline CA U2 California LEV-II ULEV AHNXT02.3Y19 SUV 7 19 24 21 5 no ACURA RDX 2.3 4 SemiAuto-5 4WD Gasoline CA U2 California LEV-II ULEV AHNXT02.3Y19 SUV 7 17 22 19 4 no ACURA RDX 2.3 4 SemiAuto-5 2WD Gasoline FA B5 Federal Tier 2 Bin 5 AHNXT02.3Y19 SUV 6 19 24 21 5 no ACURA RDX 2.3 4 SemiAuto-5 4WD Gasoline FA B5 Federal Tier 2 Bin 5 AHNXT02.3Y19 SUV 6 17 22 19 4 no ACURA RL 3.7 6 SemiAuto-5 4WD Gasoline CA U2 California LEV-II ULEV AHNXV03.7PB9 midsize car

430

Model Year 2011 Green Vehicle Guide Model Displ Cyl Trans Drive  

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

Green Vehicle Guide Green Vehicle Guide 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 MDX 3.5 6 SemiAuto-6 4WD Gasoline CA U2 California LEV-II ULEV BHNXT03.7M19 SUV 6 16 21 18 3 no ACURA MDX 3.5 6 SemiAuto-6 4WD Gasoline FA B5 Federal Tier 2 Bin 5 BHNXT03.7M19 SUV 5 16 21 18 3 no ACURA RDX 2.3 4 SemiAuto-5 2WD Gasoline CA U2 California LEV-II ULEV BHNXT02.3X19 SUV 6 19 24 21 4 no ACURA RDX 2.3 4 SemiAuto-5 4WD Gasoline CA U2 California LEV-II ULEV BHNXT02.3X19 SUV 6 17 22 19 3 no ACURA RDX 2.3 4 SemiAuto-5 2WD Gasoline FA B5 Federal Tier 2 Bin 5 BHNXT02.3X19 SUV 5 19 24 21 4 no ACURA RDX 2.3 4 SemiAuto-5 4WD Gasoline FA B5 Federal Tier 2 Bin 5 BHNXT02.3X19 SUV 5 17 22 19 3 no ACURA RL 3.7 6 SemiAuto-6 4WD Gasoline CA U2 California LEV-II ULEV BHNXV03.7PB9 midsize car

431

Model Year 2012 Green Vehicle Guide Model Displ Cyl Trans Drive  

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

Green Vehicle Guide Green Vehicle Guide 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 MDX 3.7 6 SemiAuto-6 4WD Gasoline FA B5 Federal Tier 2 Bin 5 CHNXT03.7R19 SUV 5 16 21 18 3 no ACURA MDX 3.7 6 SemiAuto-6 4WD Gasoline CA U2 California LEV-II ULEV CHNXT03.7R19 SUV 6 16 21 18 3 no ACURA RDX 2.3 4 SemiAuto-5 4WD Gasoline FA B5 Federal Tier 2 Bin 5 CHNXT02.3Y19 SUV 5 17 22 19 3 no ACURA RDX 2.3 4 SemiAuto-5 4WD Gasoline CA U2 California LEV-II ULEV CHNXT02.3Y19 SUV 6 17 22 19 3 no ACURA RDX 2.3 4 SemiAuto-5 2WD Gasoline FA B5 Federal Tier 2 Bin 5 CHNXT02.3Y19 SUV 5 19 24 21 4 no ACURA RDX 2.3 4 SemiAuto-5 2WD Gasoline CA U2 California LEV-II ULEV CHNXT02.3Y19 SUV 6 19 24 21 4 no ACURA TL 3.5 6 SemiAuto-6 2WD Gasoline FA B5 Federal Tier 2 Bin 5 CHNXV03.5EB3 midsize car 5

432

Can innovative business models overcome resistance to electric vehicles? Better Place and battery electric cars in Denmark  

Science Journals Connector (OSTI)

This paper explores the geographical and policy context for an emergent business model from Better Place to deliver battery electric car mobility in Denmark. It argues that the combination of radically different technologies and a highly complex multi-agency operating environment theoretically provide the conditions and requirements for such an emergent business model. While focused on battery electric cars, renewable energy generation and smart grids, the paper has wider applicability to an understanding of the interplay between place, innovation and sustainability which suggests that diverse solutions are likely to be the characteristic solution rather than ubiquity and standardization. The paper argues, however, that the innovative business model, the deployment of electric vehicles, and the use of renewable energy systems, in this case largely based on wind power, while mutually supportive and contributing to wider policy aims with respect to the reduction of carbon emissions, may still fail in the face of entrenched practices. At the theoretical level it is concluded that theorization of business models needs a broader perspective beyond the typical value creation, value capture rubric to better understand the wider role such models have in meeting societal goals, and to understand the structural impediments to organizational and technical innovation.

Thomas Budde Christensen; Peter Wells; Liana Cipcigan

2012-01-01T23:59:59.000Z

433

Journal of Asian Electric Vehicles, Volume 8, Number 1, June 2010 Simplified Thermal Model of PM Motors in Hybrid Vehicle Applications Taking  

E-Print Network (OSTI)

to develop a complete and representative model of the heat processes in the electric motors. In this paper in Ansoft ePhysics soft- ware. Keywords hybrid electric vehicle, surface permanent magnet synchronous motors needs to be thor- oughly understood. The optimal design of electrical motors with solid thermal

Mi, Chunting "Chris"

434

Dynamic Modeling of a Two Wheeled Vehicle : Jourdain Formalism  

E-Print Network (OSTI)

This paper presents a motorcycle direct dynamic formulation by the Jourdain's principle approach on the motorcycle's handlebar. Simulation results reveal some dynamics features like load transfer and counter-steering phenomena. keywords Motorcycle modeling, motorcycle control, Jourdain's dynamics principle. 1 Introduction

Paris-Sud XI, Université de

435

Modelling the GHG emission from hydroelectric reservoirs  

Science Journals Connector (OSTI)

A mechanistic model has been constructed to compute the fluxes of CO2 and CH4 emitted from the surface of hydroelectric reservoirs. The structure of the model has been designed to be adaptable to hydroelectric re...

Normand Thrien; Ken Morrison

2005-01-01T23:59:59.000Z

436

Co-training of context models for real-time vehicle detection Alexander R.T. Gepperth1,1  

E-Print Network (OSTI)

Co-training of context models for real-time vehicle detection Alexander R.T. Gepperth1,1 ENSTA the feasibility of our approach in a very challenging vehicle detection scenario comprising multiple weather-time detection system effectively composed of two trainable components: an exhaustive multiscale object detector

Paris-Sud XI, Université de

437

Development of a Heavy-Duty Diesel Modal Emissions and Fuel Consumption Model  

E-Print Network (OSTI)

fact that the diesel engines fuel consumption and emissionsDiesel Modal Emissions and Fuel Consumption Model Connection to engineDiesel Modal Emissions and Fuel Consumption Model unit; 5) engine-

Barth, Matthew; Younglove, Theodore; Scora, George

2005-01-01T23:59:59.000Z

438

Advancement in Fuel Spray and Combustion Modeling for Compression...  

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

Spray, Combustion, & Emission Modeling using KH-ACT Primary Breakup Model & Detailed Chemistry Vehicle Technologies Office Merit Review 2014: Advancement in Fuel Spray and...

439

Modeling the effects of atmospheric emissions on groundwater composition  

SciTech Connect

A composite model of atmospheric, unsaturated and groundwater transport is developed to evaluate the processes determining the distribution of atmospherically derived contaminants in groundwater systems and to test the sensitivity of simulated contaminant concentrations to input parameters and model linkages. One application is to screen specific atmospheric emissions for their potential in determining groundwater age. Temporal changes in atmospheric emissions could provide a recognizable pattern in the groundwater system. The model also provides a way for quantifying the significance of uncertainties in the tracer source term and transport parameters on the contaminant distribution in the groundwater system, an essential step in using the distribution of contaminants from local, point source atmospheric emissions to examine conceptual models of groundwater flow and transport.

Brown, T.J.

1994-12-31T23:59:59.000Z

440

Demonstrating Fuel Consumption and Emissions Reductions with Next Generation Model-Based Diesel Engine Control  

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

Presents a next generation model-based engine controller that incorporates real-time fuel efficiency optimization and tested under fully transient engine and vehicle operating conditions.

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

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

E-Print Network (OSTI)

electric, $2000 (small vehicle) Zero Emissions Vehicle tax rebate.electric, 60 or miles of range, $4000 Zero Emissions Vehicle tax rebate.tax rebate on LEV). Page12, Hybrid electric vehicles: Both

Turrentine, Thomas; Kurani, Kenneth S.

2001-01-01T23:59:59.000Z

442

Vehicle Data for Alternative Fuel Vehicles (AFVs) and Hybrid Fuel Vehicles (HEVs) from the Alternative Fuels and Advanced Vehicles Data Center (AFCD)  

DOE Data Explorer (OSTI)

The AFDC provides search capabilities for many different models of both light-duty and heavy-duty vehicles. Engine and transmission type, fuel and class, fuel economy and emission certification are some of the facts available. The search will also help users locate dealers in their areas and do cost analyses. Information on alternative fuel vehicles and on advanced technology vehicles, along with calculators, resale and conversion information, links to incentives and programs such as Clean Cities, and dozens of fact sheets and publications make this section of the AFDC a valuable resource for car buyers.

443

NETL: Advanced NOx Emissions Control: Control Technology - Model for NOx  

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

Model for NOx Emissions in Biomass Cofiring Model for NOx Emissions in Biomass Cofiring Southern Research Institute is developing a validated tool or methodology to accurately and confidently design and optimize biomass-cofiring systems for full-scale utility boilers to produce the lowest NOX emissions and the least unburned carbon. The computer model will be validated through an extensive set of tests at the 6 MMBtu/hr pilot combustor in the Southern Company/Southern Research Institute Combustion Research Facility. Full-scale demonstration testing can be compared to the model for further validation. The project is designed to balance the development of a systematic and expansive database detailing the effects of cofiring parameters on NOx formation with the complementary modeling effort that will yield a capability to predict, and therefore optimize, NOx reductions by the selection of those parameters. The database of biomass cofiring results will be developed through an extensive set of pilot-scale tests at the Southern Company/Southern Research Institute Combustion Research Facility. The testing in this program will monitor NOx, LOI, and other emissions over a broad domain of biomass composition, coal quality, and cofiring injection configurations to quantify the dependence of NOx formation and LOI on these parameters. This database of cofiring cases will characterize an extensive suite of emissions and combustion properties for each of the fuel and injection configuration combinations tested.

444

Effect of Premixed Charge Compression Ignition on Vehicle Fuel Economy and Emissions Reduction over Transient Driving Cycles  

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

In conventional vehicles, most engine operating points over a UDDS driving cycle stay within PCCI operation limits but PCCI in HEVs is limited because of higher loads and many cold/warm starts.

445

Vehicle Technologies Office Merit Review 2014: Low Temperature Emission Control to Enable Fuel-Efficient Engine Commercialization  

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

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

446

Comparative Life Cycle Assessment (LCA) of passenger seats and their impact on different vehicle models  

Science Journals Connector (OSTI)

The main purpose of Life Cycle Assessment (LCA) to date has been to evaluate life cycle impacts of different design solutions and materials for a car, its sub-systems and components. Considerable number of publications are available on LCA of automotive components. This research aims to extend the LCA approach by evaluating and comparing the effects of mass reduction of passenger seats for different vehicle models in order to provide strategic support for decision making in the development process and to validate the environmental benefits of design alternatives under investigation. For this purpose, the paper presents a comprehensive LCA of passenger seats with detailed consideration of alternative scenarios for the use phase for different vehicle models.

Aleksandar Subic; Francesco Schiavone; Martin Leary; Jack Manning

2010-01-01T23:59:59.000Z

447

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

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

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

448

Modeling Pollutant Emissions of Diesel Engine based on Kriging Models: a  

E-Print Network (OSTI)

Modeling Pollutant Emissions of Diesel Engine based on Kriging Models: a Comparison between problems, modelling errors, Automotive emissions, Diesel engines 1. INTRODUCTION The automotive industry.denis-vidal@math.univ-lille1.fr, ghislaine.joly-blanchard@utc.fr) Abstract: In order to optimize the performance of a diesel

Paris-Sud XI, Université de

449

An assessment of electric vehicles: technology, infrastructure requirements, greenhouse-gas emissions, petroleum use, material use, lifetime cost, consumer acceptance and policy initiatives  

Science Journals Connector (OSTI)

...will have peak-power devices such as high-power batteries or...Fuel-cell passenger cars and sport utility...feedstocks (water, electricity...Comparing land, water, and materials...hybrid vehicles: power sources, models...using a motor car. Transport...

2014-01-01T23:59:59.000Z

450

NETL: Predictive Modeling and Evaluation - Evaluation of the Emission,  

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

Evaluation of the Emission, Transport, and Deposition of Mercury, Arsenic, and Fine Particulate Matter from Coal Based Power Plants in the Ohio River Valley Region Evaluation of the Emission, Transport, and Deposition of Mercury, Arsenic, and Fine Particulate Matter from Coal Based Power Plants in the Ohio River Valley Region Ohio University, in collaboration with CONSOL Energy, Advanced Technology Systems, Inc (ATS) and Atmospheric Environmental Research, Inc. (AER) as subcontractors will evaluate the impact of emissions from coal-fired power plants in the Ohio River Valley region as they relate to the transport and deposition of mercury, arsenic, and associated fine particulate matter. This evaluation will involve two interrelated areas of effort: regional-scale modeling analysis and ambient air monitoring. The scope of work for the modeling analysis will include (1) development of updated inventories of mercury and arsenic emissions from coal plants and other important sources in the modeled domain; (2) adapting an existing 3-D atmospheric chemical transport model to incorporate recent advancements in the understanding of mercury transformations in the atmosphere; (3) analyses of the flux of Hg0, RGM, arsenic, and fine particulate matter in the different sectors of the study region to identify key transport mechanisms; (4) comparison of cross correlations between species from the model results to observations in order to evaluate characteristics of specific air masses associated with long-range transport from a specified source region; and (5) evaluation of the sensitivity of these correlations to emissions from regions along the transport path. This will be accomplished by multiple model runs with emissions simulations switched on and off from the various source regions.

451

Alternative Fuels Data Center: Propane Vehicles  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

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

452

Fact #806: December 2, 2013 Light Vehicle Market Shares, Model Years 19752012  

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

In 1975, cars were by far the dominant vehicle style among new light vehicle sales, with a few vans and pickup trucks. Sport Utility Vehicles (SUVs) accounted for less than 2% of the market at that...

453

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

E-Print Network (OSTI)

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

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

1996-01-01T23:59:59.000Z

454

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

E-Print Network (OSTI)

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

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

1996-01-01T23:59:59.000Z

455

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

E-Print Network (OSTI)

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

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

2010-01-01T23:59:59.000Z

456

Coordinated formation pattern control of multiple marine surface vehicles with model uncertainty and time-varying ocean currents  

Science Journals Connector (OSTI)

This paper considers the coordinated formation pattern control of multiple marine surface vehicles in the presence of model uncertainty and time-varying ocean disturbances induced wind, waves and ocean currents. ...

Zhouhua Peng; Dan Wang; Hao Wang; Wei Wang

2014-12-01T23:59:59.000Z

457

Key words. Emissions markets, Cap-and-trade schemes, Equilibrium models, Environmental MARKET DESIGN FOR EMISSION TRADING SCHEMES  

E-Print Network (OSTI)

Key words. Emissions markets, Cap-and-trade schemes, Equilibrium models, Environmental Finance. MARKET DESIGN FOR EMISSION TRADING SCHEMES REN´E CARMONA , MAX FEHR , JURI HINZ , AND ARNAUD PORCHET to help policy makers and regulators understand the pros and the cons of the emissions markets. We propose

Carmona, Rene

458

Hybrid and Plug-In Electric Vehicles (Brochure)  

SciTech Connect

Hybrid and plug-in electric vehicles use electricity as their primary fuel or to improve the efficiency of conventional vehicle designs. These vehicles can be divided into three categories: hybrid electric vehicles (HEVs), plug-in hybrid electric vehicles (PHEVs), all-electric vehicles (EVs). Together, they have great potential to cut U.S. petroleum use and vehicle emissions.

Not Available

2014-05-01T23:59:59.000Z

459

Alternative Fuels Data Center: Michigan Converts Vehicles to Propane,  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Michigan Converts Michigan Converts Vehicles to Propane, Reducing Emissions to someone by E-mail Share Alternative Fuels Data Center: Michigan Converts Vehicles to Propane, Reducing Emissions on Facebook Tweet about Alternative Fuels Data Center: Michigan Converts Vehicles to Propane, Reducing Emissions on Twitter Bookmark Alternative Fuels Data Center: Michigan Converts Vehicles to Propane, Reducing Emissions on Google Bookmark Alternative Fuels Data Center: Michigan Converts Vehicles to Propane, Reducing Emissions on Delicious Rank Alternative Fuels Data Center: Michigan Converts Vehicles to Propane, Reducing Emissions on Digg Find More places to share Alternative Fuels Data Center: Michigan Converts Vehicles to Propane, Reducing Emissions on AddThis.com... April 27, 2013

460

Electric vehicles and the electric grid: A review of modeling approaches, Impacts, and renewable energy integration  

Science Journals Connector (OSTI)

Electric vehicles (EVs) and renewable energy sources offer the potential to substantially decrease carbon emissions from both the transportation and power generation sectors of the economy. Mass adoption of \\{EVs\\} will have a number of impacts and benefits, including the ability to assist in the integration of renewable energy into existing electric grids. This paper reviews the current literature on EVs, the electric grid, and renewable energy integration. Key methods and assumptions of the literature are discussed. The economic, environmental and grid impacts of \\{EVs\\} are reviewed. Numerous studies assessing the ability of \\{EVs\\} to integrate renewable energy sources are assessed; the literature indicates that \\{EVs\\} can significantly reduce the amount of excess renewable energy produced in an electric system. Studies on windEV interaction are much more detailed than those on solar photovoltaics (PV) and EVs. The paper concludes with recommendations for future research.

David B. Richardson

2013-01-01T23:59:59.000Z

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.


461

Electric Drive Vehicle Demonstration and Vehicle Infrastructure...  

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

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

462

Heavy Vehicle Systems, Int. J. of Vehicle Design, Vol. 11, Nos. 3/4, 2004 349 Modelling and control of a medium-duty hybrid  

E-Print Network (OSTI)

tool, and its application to the design of a power management control algorithm. The hybrid electric to improve vehicle fuel economy significantly, compared with the original vehicle, powered only by a diesel engine. Keywords: electric vehicles, electric-vehicle simulation, hybrid electric vehicles, hybrid

Peng, Huei

463

Analysis and Modeling on the GHG Emissions in Dyeing and Finishing Processes  

Science Journals Connector (OSTI)

This paper analyzes the GHG emissions from each process in dyeing and ... energy using and industrial activities contribute the main GHG emissions. And a model is created to calculate the GHG emissions in dyeing ...

Yingxiang Fan; Ming Du; Hui Song

2011-01-01T23:59:59.000Z

464

Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) and Hybrid  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

and Hybrid Electric Vehicle (HEV) Emissions Inspection and Hybrid Electric Vehicle (HEV) Emissions Inspection Exemption to someone by E-mail Share Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) and Hybrid Electric Vehicle (HEV) Emissions Inspection Exemption on Facebook Tweet about Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) and Hybrid Electric Vehicle (HEV) Emissions Inspection Exemption on Twitter Bookmark Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) and Hybrid Electric Vehicle (HEV) Emissions Inspection Exemption on Google Bookmark Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) and Hybrid Electric Vehicle (HEV) Emissions Inspection Exemption on Delicious Rank Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) and Hybrid Electric Vehicle (HEV) Emissions Inspection Exemption on Digg

465

Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) and Hybrid  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

and Hybrid Electric Vehicle (HEV) Emissions Inspection and Hybrid Electric Vehicle (HEV) Emissions Inspection Exemption to someone by E-mail Share Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) and Hybrid Electric Vehicle (HEV) Emissions Inspection Exemption on Facebook Tweet about Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) and Hybrid Electric Vehicle (HEV) Emissions Inspection Exemption on Twitter Bookmark Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) and Hybrid Electric Vehicle (HEV) Emissions Inspection Exemption on Google Bookmark Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) and Hybrid Electric Vehicle (HEV) Emissions Inspection Exemption on Delicious Rank Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) and Hybrid Electric Vehicle (HEV) Emissions Inspection Exemption on Digg

466

Fact #562: March 16, 2009 Carbon Reduction of Plug-in Hybrid Electric Vehicles  

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

Estimates from the GREET model (see Argonne National Laboratory's information on GREET) show that passenger car PHEV10s produce about 29% fewer carbon emissions than a conventional vehicle, when...

467

High-frequency equivalent model of AC motor for electric vehicle drive system  

Science Journals Connector (OSTI)

The application of the motor drive system in electric and hybrid-electric vehicles can lead to a significant increase in electromagnetic compatibility. The AC motor as an important part of motor drive system must be considered. In this paper, a high frequency modelling method of the AC motor is presented. The modelling method consists of deriving the motor model parameters from mathematical resolution of the electrical circuit equations and observation of the variations of the motor impedance with the frequency. All parameters of the proposed models are obtained by differential mode (DM) and common mode (CM) impedance measurement in the frequency domain. The model is verified by impedance measurement of a synchronous motor. The method proposed can be used to obtain a high-frequency equivalent circuit of an AC motor and predict conducted electromagnetic interference in a motor drive system.

Yongming Yang; Hemeng Peng; Quandi Wang

2013-01-01T23:59:59.000Z

468

Alternative Fuels Data Center: Hybrid Electric Vehicles  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

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

469

Electric and Gasoline Vehicle Lifecycle Cost and Energy-Use Model  

E-Print Network (OSTI)

analyses of the manufacturing cost of the key unique components of electric vehicles: batteries, fuel cells,

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

2000-01-01T23:59:59.000Z

470

Emissions  

Office of Scientific and Technical Information (OSTI)

the extra emissions that are generated from manufacturing the material used to make CNG tanks); they can amount tc more than 2% of the emissions from 32 the fuel production and...

471

Development of correction factors for landfill gas emission model suiting Indian condition to predict methane emission from landfills  

Science Journals Connector (OSTI)

Abstract Methane emission from landfill gas emission (LandGEM) model was validated through the results of laboratory scale biochemical methane potential assay. Results showed that LandGEM model over estimates methane (CH4) emissions; and the true CH4 potential of waste depends on the level of segregation. Based on these findings, correction factors were developed to estimate CH4 emission using LandGEM model especially where the level of segregation is negligible or does not exist. The correction factors obtained from the study were 0.94, 0.13 and 0.74 for food waste, mixed un-segregated municipal solid waste (MSW) and vegetable wastes, respectively.

Avick Sil; Sunil Kumar; Jonathan W.C. Wong

2014-01-01T23:59:59.000Z

472

Radio emission from Colliding-Wind Binaries: Observations and Models  

E-Print Network (OSTI)

We have developed radiative transfer models of the radio emission from colliding-wind binaries (CWB) based on a hydrodynamical treatment of the wind-collision region (WCR). The archetype of CWB systems is the 7.9-yr period binary WR140, which exhibits dramatic variations at radio wavelengths. High-resolution radio observations of WR140 permit a determination of several system parameters, particularly orbit inclination and distance, that are essential for any models of this system. A model fit to data at orbital phase 0.9 is shown, and some short comings of our model described.

S. M. Dougherty; J. M. Pittard; E. P. O'Connor

2005-10-18T23:59:59.000Z

473

Exhaust emissions of volatile organic compounds of powered two-wheelers: Effect of cold start and vehicle speed. Contribution to greenhouse effect and tropospheric ozone formation  

Science Journals Connector (OSTI)

Abstract Powered two-wheeler (PTW) vehicles complying with recent European type approval standards (stages Euro 2 and Euro 3) were tested on chassis dynamometer in order to measure exhaust emissions of about 25 volatile organic compounds (VOCs) in the range C1C7, including carcinogenic compounds as benzene and 1,3-butadiene. The fleet consists of a moped (engine capacity?50cm3) and three fuel injection motorcycles of different engine capacities (150, 300 and 400cm3). Different driving conditions were tested (US FPT cycle, constant speed). Due to the poor control of the combustion and catalyst efficiency, moped is the highest pollutant emitter. In fact, fuel injection strategy and three way catalyst with lambda sensor are able to reduce VOC motorcycles' emission of about one order of magnitude with respect to moped. Cold start effect, that is crucial for the assessment of actual emission of \\{PTWs\\} in urban areas, was significant: 3051% of extra emission for methane. In the investigated speed range, moped showed a significant maximum of VOC emission factor at minimum speed (10km/h) and a slightly decreasing trend from 20 to 60km/h; motorcycles showed on the average a less significant peak at 10km/h, a minimum at 3040km/h and then an increasing trend with a maximum emission factor at 90km/h. Carcinogenic \\{VOCs\\} show the same pattern of total VOCs. Ozone Formation Potential (OFP) was estimated by using Maximum Incremental Reactivity scale. The greatest contribution to tropospheric ozone formation comes from alkenes group which account for 5080% to the total OFP. VOC contribution effect on greenhouse effect is negligible with respect to CO2 emitted.

M. Antonietta Costagliola; Fabio Murena; M. Vittoria Prati

2014-01-01T23:59:59.000Z

474

Methods for Developing Emissions Scenarios for Integrated Assessment Models  

SciTech Connect

The overall objective of this research was to contribute data and methods to support the future development of new emissions scenarios for integrated assessment of climate change. Specifically, this research had two main objectives: 1. Use historical data on economic growth and energy efficiency changes, and develop probability density functions (PDFs) for the appropriate parameters for two or three commonly used integrated assessment models. 2. Using the parameter distributions developed through the first task and previous work, we will develop methods of designing multi-gas emission scenarios that usefully span the joint uncertainty space in a small number of scenarios. Results on the autonomous energy efficiency improvement (AEEI) parameter are summarized, an uncertainty analysis of elasticities of substitution is described, and the probabilistic emissions scenario approach is presented.

Prinn, Ronald [MIT; Webster, Mort [MIT

2007-08-20T23:59:59.000Z

475

Vehicle Cost Calculator  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

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

476

Market penetration scenarios for fuel cell vehicles  

SciTech Connect

Fuel cell vehicles may create the first mass market for hydrogen as an energy carrier. Directed Technologies, Inc., working with the US Department of Energy hydrogen systems analysis team, has developed a time-dependent computer market penetration model. This model estimates the number of fuel cell vehicles that would be purchased over time as a function of their cost and the cost of hydrogen relative to the costs of competing vehicles and fuels. The model then calculates the return on investment for fuel cell vehicle manufacturers and hydrogen fuel suppliers. The model also projects the benefit/cost ratio for government--the ratio of societal benefits such as reduced oil consumption, reduced urban air pollution and reduced greenhouse gas emissions to the government cost for assisting the development of hydrogen energy and fuel cell vehicle technologies. The purpose of this model is to assist industry and government in choosing the best investment strategies to achieve significant return on investment and to maximize benefit/cost ratios. The model can illustrate trends and highlight the sensitivity of market penetration to various parameters such as fuel cell efficiency, cost, weight, and hydrogen cost. It can also illustrate the potential benefits of successful R and D and early demonstration projects. Results will be shown comparing the market penetration and return on investment estimates for direct hydrogen fuel cell vehicles compared to fuel cell vehicles with onboard fuel processors including methanol steam reformers and gasoline partial oxidation systems. Other alternative fueled vehicles including natural gas hybrids, direct injection diesels and hydrogen-powered internal combustion hybrid vehicles will also be analyzed.

Thomas, C.E.; James, B.D.; Lomax, F.D. Jr. [Directed Technologies, Inc., Arlington, VA (United States)

1997-12-31T23:59:59.000Z

477

The sensitivity of modeled ozone to the temporal distribution of point, area, and mobile source emissions in the eastern United States  

E-Print Network (OSTI)

the emissions of NOx from day to night, for example in electric powered vehicles recharged at night, could have vehicles to the fleet (Bloomer et al., 2009) many regulators are focusing on reducing emissions at peak a memorandum of under- standing to reduce NOx emissions from peaking units on high electrical demand days (HEDD

Stehr, Jeffrey

478

Advanced HD Engine Systems and Emissions Control Modeling and Analysis  

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

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

479

Advanced HD Engine Systems and Emissions Control Modeling and Analysis  

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

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

480

Advanced LD Engine Systems and Emissions Control Modeling and Analysis  

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

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

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 con