Sample records for vehicle emission modeling

  1. A Statistical Model of Vehicle Emissions and Fuel Consumption

    E-Print Network [OSTI]

    Cappiello, Alessandra

    2002-09-17T23:59:59.000Z

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

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

    Energy Savers [EERE]

    More Documents & Publications GREET Development and Applications for Life-Cycle Analysis of VehicleFuel Systems Fuel-Cycle Energy and Emissions Analysis with the GREET Model...

  3. Data Needs for Evolving Motor Vehicle Emission Modeling Approaches

    E-Print Network [OSTI]

    Guensler, Randall

    1993-01-01T23:59:59.000Z

    model was originally developed by the TransportationSystems Center of the USDepartment Transportationto support vehicle of energy

  4. Incorporating Vehicle Emission Models into the Highway Design Process

    E-Print Network [OSTI]

    Ko, Myung-Hoon

    2012-02-14T23:59:59.000Z

    Automobile transportation consumes a significant amount of non-reusable energy and emits emissions as by-products of fuel consumption. There has been much progress in the development of vehicle engine technology and alternative fuels to reduce...

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

    E-Print Network [OSTI]

    Kota, Sri H

    2014-07-25T23:59:59.000Z

    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...

  6. Data Needs for Evolving Motor Vehicle Emission Modeling Approaches

    E-Print Network [OSTI]

    Guensler, Randall

    1993-01-01T23:59:59.000Z

    in factor analysis and running loss analysis) are conductedis motion constitute running losses. A lower frequency ofassumedprobability that elevated running loss emissions are

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: SinceDevelopment | Department of EnergyEnergyVehicle Data | DepartmentTechnologyLife Cycle

  8. Measuring and Modeling Emissions from Extremely Low-Emitting Vehicles

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

    Make Model Odometer Chevrolet Malibu Honda Accord LX DodgeNeon Ford Focus Honda Accord LX Mazda Protégé Volkswagen3.2TL Buick Regal Ford Mustang Honda Civic Mitsubishi Galant

  9. Measuring and Modeling Emissions from Extremely Low Emitting Vehicles

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

    Make Model Odometer Chevrolet Malibu Honda Accord LX DodgeNeon Ford Focus Honda Accord LX Mazda Protégé Volkswagen3.2TL Buick Regal Ford Mustang Honda Civic Mitsubishi Galant

  10. Vehicle Technologies Office Merit Review 2015: Emissions Modeling: GREET Life Cycle Analysis

    Broader source: Energy.gov [DOE]

    Presentation given by Argonne National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about emissions...

  11. Modeling Traffic Flow Emissions

    E-Print Network [OSTI]

    Cappiello, Alessandra

    2002-09-17T23:59:59.000Z

    The main topic of this thesis is the development of light-duty vehicle dynamic emission models and their integration with dynamic traffic models. Combined, these models

  12. Vehicle Emissions Review - 2011

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

    mass, membrane effects, fundamentals on permeability * DOC Pd:Pt ratios allow optimization * Gasoline emission control is amazing - Zone coating - Lower PGM with better...

  13. 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...

  14. Vehicle Modeling and Simulation

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

    Vehicle Modeling and Simulation Vehicle Modeling and Simulation Matthew Thornton National Renewable Energy Laboratory matthewthornton@nrel.gov phone: 303.275.4273 Principal...

  15. 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...

  16. Emissions from US waste collection vehicles

    SciTech Connect (OSTI)

    Maimoun, Mousa A., E-mail: mousamaimoun@gmail.com [Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL (United States); Reinhart, Debra R. [Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL (United States); Gammoh, Fatina T. [Quality Department, Airport International Group, Amman (Jordan); McCauley Bush, Pamela [Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL (United States)

    2013-05-15T23:59:59.000Z

    Highlights: ? Life-cycle emissions for alternative fuel technologies. ? Fuel consumption of alternative fuels for waste collection vehicles. ? Actual driving cycle of waste collection vehicles. ? Diesel-fueled waste collection vehicle emissions. - Abstract: This research is an in-depth environmental analysis of potential alternative fuel technologies for waste collection vehicles. Life-cycle emissions, cost, fuel and energy consumption were evaluated for a wide range of fossil and bio-fuel technologies. Emission factors were calculated for a typical waste collection driving cycle as well as constant speed. In brief, natural gas waste collection vehicles (compressed and liquid) fueled with North-American natural gas had 6–10% higher well-to-wheel (WTW) greenhouse gas (GHG) emissions relative to diesel-fueled vehicles; however the pump-to-wheel (PTW) GHG emissions of natural gas waste collection vehicles averaged 6% less than diesel-fueled vehicles. Landfill gas had about 80% lower WTW GHG emissions relative to diesel. Biodiesel waste collection vehicles had between 12% and 75% lower WTW GHG emissions relative to diesel depending on the fuel source and the blend. In 2011, natural gas waste collection vehicles had the lowest fuel cost per collection vehicle kilometer travel. Finally, the actual driving cycle of waste collection vehicles consists of repetitive stops and starts during waste collection; this generates more emissions than constant speed driving.

  17. Consumer Vehicle Choice Model Documentation

    SciTech Connect (OSTI)

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

    2012-08-01T23:59:59.000Z

    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.

  18. Vehicle Technologies Office Merit Review 2015: Joint Development and Coordination of Emissions Control Data and Models

    Broader source: Energy.gov [DOE]

    Presentation given by Oak Ridge National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about joint...

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

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

    Emissions Control in Hybrid Vehicles Equipped with a Passive Adsorber for Hydrocarbons and NOx Cold-Start Emissions Control in Hybrid Vehicles Equipped with a Passive Adsorber for...

  20. International Conference 'Transport and Air Pollution' 2008, Graz EMISSION FACTOR MODELLING FOR LIGHT VEHICLES

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    - 1 - 16th International Conference 'Transport and Air Pollution' 2008, Graz EMISSION FACTOR in Europe: The European MEET (Methodologies for Estimating air pollutant Emissions from Transport) project. Transport and Air Pollution, Graz : Austria (2008)" #12;- 2 - 16th International Conference 'Transport

  1. On-road remote sensing of vehicle emissions in

    E-Print Network [OSTI]

    Denver, University of

    Fleet 14 6 Variation of Emissions with Vehicle Year of Manufacture 18 7 Comparison of Petrol and Diesel New Petrol Vehicles 27 8.2 Imported Used and New Zealand New Diesel Vehicles 34 9 Influence of Vehicle Distance Travelled on Emissions 41 9.1 Petrol Fuelled Vehicles 41 9.2 Diesel Fuelled Vehicles 44 10

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

    E-Print Network [OSTI]

    Gu, Chaoyi

    2013-07-31T23:59:59.000Z

    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...

  3. Trends in on-road vehicle emissions of ammonia

    SciTech Connect (OSTI)

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

    2008-07-15T23:59:59.000Z

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

  4. VEHICLE EMISSIONS AND TRAFFIC MEASURES: EXPLORATORY ANALYSIS OF FIELD

    E-Print Network [OSTI]

    Frey, H. Christopher

    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

  5. Emission Impacts of Electric Vehicles

    E-Print Network [OSTI]

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

    1990-01-01T23:59:59.000Z

    California, 1982. 26. R. E. Simkins, "Evaporative runningevapora- tive emissions. Simkins concluded that runningis consis- tent with Simkins’ result. Weuse EPA’sestimates

  6. Emission Impacts of Electric Vehicles

    E-Print Network [OSTI]

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

    1990-01-01T23:59:59.000Z

    Simkins, "Evaporative running loss emissions," NIPER- 266,soak emissionsoccur. Running losses are evaporative lossesdiurnal, hot soak, running loss), and gasoline station and

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

    Open Energy Info (EERE)

    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...

  8. Emissions from the European Light Duty Diesel Vehicle During...

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

    the European Light Duty Diesel Vehicle During DPF Regeneration Events Emissions from the European Light Duty Diesel Vehicle During DPF Regeneration Events Repeated partial...

  9. Emission control cost-effectiveness of alternative-fuel vehicles

    SciTech Connect (OSTI)

    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

    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.

  10. Emission Impacts of Electric Vehicles

    E-Print Network [OSTI]

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

    1990-01-01T23:59:59.000Z

    category includes California-owned power plants out- sideCalifornia Air ResourcesBoard, "Uncontrolled and controlled power-plantsCalifornia. First, we include emissions from out-state coal power plants.

  11. Advanced Clean Cars Zero Emission Vehicle Regulation

    E-Print Network [OSTI]

    California at Davis, University of

    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 15 infrastructure, the cars won't come · Complementary Policies to support ZEV regulation ­ Clean Fuels Outlet

  12. 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]

    Delucchi, Mark

    2003-01-01T23:59:59.000Z

    duty fuel cell vehicles using gasoline, methanol, ethanol,fuel-cell vehicle with a proton-exchange membrane (PEM) and methanolmethanol), fuel feedstocks (e.g. , coal), and vehicle types (e.g. , fuel-cell vehicle).

  13. Vehicle potential measurements during electron emission in the ionosphere

    SciTech Connect (OSTI)

    Myers, N.B.

    1991-03-01T23:59:59.000Z

    CHARGE-2 was a sounding rocket experiment to study the interaction of an electron beam with the environment. Additionally, experiments on the interaction of a vehicle at high potential (up to 1 kV) with the ionosphere were performed. The payload consisted of two parts that were separated during the flight. A 1 -kV electron gun was flown on the mother vehicle along with numerous diagnostic Instruments. The daughter vehicle was deployed on a conducting, insulated tether to a distance of up to 426 m perpendicular to the geomagnetic field. The high potential was obtained by electron emission from the mother vehicle, and by voltage biasing of the daughter vehicle. Measurements of transient vehicle potential were obtained with a sample interval of 100 ns. Measurements of the steady-state vehicle potential were typically limited to about half of the lkV accelerating potential of the electron gun. The daughter vehicle collected current consistent with magnetically limited models of current collection.

  14. TECHNICAL PAPER Multispecies remote sensing measurements of vehicle emissions

    E-Print Network [OSTI]

    Denver, University of

    TECHNICAL PAPER Multispecies remote sensing measurements of vehicle emissions on Sherman Way in Van emissions from nearly 13,000 vehicles on Sherman Way (0.4 miles west of the tunnel) in Van Nuys, California emissions are increasingly dominated by a few gross emitters, with more than a third of the total emissions

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

    SciTech Connect (OSTI)

    Wang, M. Q.

    1998-12-16T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Klier, Thomas

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

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

    E-Print Network [OSTI]

    Hajbabaei, Maryam

    2013-01-01T23:59:59.000Z

    Natural Gas Liquids Natural Gas Vehicle Ammonia Non-methanein emissions for natural gas vehicles (NGVs), emissions for226. Timmons, S. Natural Gas Fuel Effects on Vehicle Exhaust

  18. Lubricating Oil Dominates Primary Organic Aerosol Emissions from Motor Vehicles

    E-Print Network [OSTI]

    Cohen, Ronald C.

    Lubricating Oil Dominates Primary Organic Aerosol Emissions from Motor Vehicles David R. Worton, United States *S Supporting Information ABSTRACT: Motor vehicles are major sources of primary organic characterization of motor vehicle POA emissions in a roadway tunnel with a mass closure of >60%. The observed POA

  19. Fuel-Based On-Road Motor Vehicle Emissions Inventory

    E-Print Network [OSTI]

    Denver, University of

    Fuel-Based On-Road Motor Vehicle Emissions Inventory for the Denver Metropolitan Area Sajal S of Denver 2101 E. Wesley Ave. Denver, CO 80208 #12;Mobile Source Emissions Inventory Methods MOBILE emission factors -g/mile uncertain Vehicle miles traveled -very uncertain Speed correction factors Inventory

  20. On-Road Motor Vehicle Emissions Measurements

    E-Print Network [OSTI]

    Denver, University of

    . Pokharel, Gary A. Bishop and Donald H. Stedman Department of Chemistry and Biochemistry University 1990 1991 1992 1993 1994 1995 1996 1997 1998 Model Year FailureRate(%) Gasoline Vehicles Natural Gas Bi/day382252Diesel trucks Tons/day2730220Gasohol (LTK, PAS) Tons/day3748369Gasoline (LTK, PAS) g per kg of fuel

  1. Carbonyl Emissions from Gasoline and Diesel Motor Vehicles

    E-Print Network [OSTI]

    Jakober, Chris A.

    2008-01-01T23:59:59.000Z

    emissions from gasoline and diesel motor vehicles. Environ.of four dilutions of diesel engine exhaust for a subchronicautomobiles and heavy-duty diesel trucks. Environ. Sci.

  2. 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]

    Delucchi, Mark

    2003-01-01T23:59:59.000Z

    by crediting against full fuel cycle emissions from theuse” process fuel -- is the full fuel cycle emission factor,where the full fuel cycle includes emissions from

  3. Htfiffi m'* Effects of Alternative Fuels on Vehicle Emissions

    E-Print Network [OSTI]

    , Chapel Hill, North Carolina 27514, USA rThe Joint Graduate School of Energy and Environrnent, King Mon operating on gasoline arrd a similar non-FF\\-. llir:s rs a in-al ethanol composition blend requires vehicle. Compadson of emissions from flex-fuel r.rhicles operating on EB5 with &e emissions from same vehicle

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

    Broader source: Energy.gov [DOE]

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

  5. Study Pinpoints Sources of Polluting Vehicle Emissions (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-03-01T23:59:59.000Z

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

  6. Modeling And Control Of Articulated Vehicles

    E-Print Network [OSTI]

    Chen, Chieh; Tomizuka, Masayoshi

    1997-01-01T23:59:59.000Z

    Modeling, Advanced Vehicle Control Systems, Lateral control, SteeringSteering and Braking Control of Heavy Duty Vehicles. Under this project, dynamic modeling

  7. Houston Zero Emission Delivery Vehicle Deployment Project

    Broader source: Energy.gov [DOE]

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

  8. Zero Emission Vehicle Program Changes In 1990, California embarked on a plan to reduce vehicle emissions to zero through the gradual introduction of

    E-Print Network [OSTI]

    Gille, Sarah T.

    12/10/01 Zero Emission Vehicle Program Changes In 1990, California embarked on a plan to reduce vehicle emissions to zero through the gradual introduction of zero emission vehicles (ZEVs). Specifically, and in 1998 to allow partial ZEV (PZEV) credits for extremely clean vehicles that were not pure ZEVs

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

    SciTech Connect (OSTI)

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

    2006-12-20T23:59:59.000Z

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

  10. Vehicle emissions and energy consumption impacts of modal shifts 

    E-Print Network [OSTI]

    Mallett, Vickie Lynn

    1993-01-01T23:59:59.000Z

    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...

  11. Vehicle emissions and energy consumption impacts of modal shifts

    E-Print Network [OSTI]

    Mallett, Vickie Lynn

    1993-01-01T23:59:59.000Z

    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...

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

    SciTech Connect (OSTI)

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

    1995-06-01T23:59:59.000Z

    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.

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

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

    PHEV Engine Systems and Emissions Control Modeling and Analysis Stuart Daw (PI), Zhiming Gao, Kalyan Chakravarthy Oak Ridge National Laboratory 2011 U.S. DOE Hydrogen and Vehicle...

  14. Energy-consumption and carbon-emission analysis of vehicle and component manufacturing.

    SciTech Connect (OSTI)

    Sullivan, J. L.; Burnham, A.; Wang, M.; Energy Systems

    2010-10-12T23:59:59.000Z

    A model is presented for calculating the environmental burdens of the part manufacturing and vehicle assembly (VMA) stage of the vehicle life cycle. The approach is bottom-up, with a special focus on energy consumption and CO{sub 2} emissions. The model is applied to both conventional and advanced vehicles, the latter of which include aluminum-intensive, hybrid electric, plug-in hybrid electric and all-electric vehicles. An important component of the model, a weight-based distribution function of materials and associated transformation processes (casting, stamping, etc.), is developed from the United States Council for Automotive Research Generic Vehicle Life Cycle Inventory Study. As the approach is bottom-up, numerous transformation process data and plant operational data were extracted from the literature for use in representing the many operations included in the model. When the model was applied to conventional vehicles, reliable estimates of cumulative energy consumption (34 GJ/vehicle) and CO{sub 2} emission (2 tonnes/vehicle) were computed for the VMA life-cycle stage. The numerous data sets taken from the literature permitted the development of some statistics on model results. Because the model explicitly includes a greater coverage of relevant manufacturing processes than many earlier studies, our energy estimates are on the higher end of previously published values. Limitations of the model are also discussed. Because the material compositions of conventional vehicles within specific classes (cars, light duty trucks, etc.) are sensibly constant on a percent-by-weight basis, the model can be reduced to a simple linear form for each class dependent only on vehicle weight. For advanced vehicles, the material/transformation process distribution developed above needs to be adjusted for different materials and components. This is particularly so for aluminum-intensive and electric-drive vehicles. In fact, because of their comparatively high manufacturing energy, batteries required for an electric vehicle can significantly add to the energy burden of the VMA stage. Overall, for conventional vehicles, energy use and CO{sub 2} emissions from the VMA stage are about 4% of their total life-cycle values. They are expected to be somewhat higher for advanced vehicles.

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

    E-Print Network [OSTI]

    Burke, A.F.; Miller, M.

    1997-01-01T23:59:59.000Z

    are for total full fuel cycle emissions. References l.Light Duty Vehicle Full Fuel Cycle Emissions Analysis,AND FUEL ECONOMY FULL FUEL CYCLE EMISSIONS REGULATORY

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

    SciTech Connect (OSTI)

    Sioshansi, R.; Denholm, P.

    2009-01-01T23:59:59.000Z

    Plug-in hybrid electric vehicles (PHEVs) have been promoted as a potential technology to reduce emissions of greenhouse gases and other pollutants by using electricity instead of petroleum, and by improving electric system efficiency by providing vehicle-to-grid (V2G) services. We use an electric power system model to explicitly evaluate the change in generator dispatches resulting from PHEV deployment in the Texas grid, and apply fixed and non-parametric estimates of generator emissions rates, to estimate the resulting changes in generation emissions. We find that by using the flexibility of when vehicles may be charged, generator efficiency can be increased substantially. By changing generator dispatch, a PHEV fleet of up to 15% of light-duty vehicles can actually decrease net generator NO{sub x} emissions during the ozone season, despite the additional charging load. By adding V2G services, such as spinning reserves and energy storage, CO{sub 2}, SO{sub 2}, and NO{sub x} emissions can be reduced even further.

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

    SciTech Connect (OSTI)

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

    1999-06-18T23:59:59.000Z

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

  18. Relative ozone forming potential of methanol-fueled vehicle emissions and gasoline-fueled vehicle emissions in outdoor smog chambers. Interim report, 1991-1992

    SciTech Connect (OSTI)

    Jeffries, H.E.; Sexton, K.G.

    1993-02-01T23:59:59.000Z

    The experimental program compares the relative NO oxidation and O3 forming capabilities of surrogate VOC mixtures that are representative of urban air, emissions from vehicles using methanol fuels, and emissions from vehicles using industry-average gasoline. The experiments used a dual side-by-side outdoor chamber with initial NOx of 330 ppb and hydrocarbon-to-NOx ratios 4.5, 6, and 9:1. The urban VOC mixture was based upon ambient air analyses conducted by EPA for 6-9 AM in 41 cities over the period 1984-1988. The automotive VOC mixtures were based upon exhaust, evaporative, and running loss measurements made in the Auto/Oil Air Quality Improvement Research Program and upon the application of EPA's MOBILE4 emissions model applied in a model scenario in Dallas/Fort Worth in the year 2005. Each of the VOC mixtures had about 55 individual species in which about 45 species were surrogates for the remaining measured carbon. In addition to testing the relative reactivity of each VOC mixture against the other mixtures, the majority of the experiments used mixtures in which 50% of the carbon was from the urban mix and 50% of the carbon was from industry-average gasoline vehicle emissions or 50% of the carbon was from the methanol-fueled vehicle emissions. Some experiments were also conducted with higher fractions of formaldehyde (HCHO) in either the urban mix or in the methanol mix.

  19. CleanFleet. Final report: Volume 7, vehicle emissions

    SciTech Connect (OSTI)

    NONE

    1995-12-01T23:59:59.000Z

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

  20. Vehicle Emissions Review - 2011 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02 TUEValidation of& Systems Simulation &Vehicle1

  1. Vehicle Emissions Review - 2012 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02 TUEValidation of& Systems Simulation &Vehicle12

  2. Zero-emission vehicle technology assessment. Final report

    SciTech Connect (OSTI)

    Woods, T.

    1995-08-01T23:59:59.000Z

    New York State adopted the California Low Emission Vehicle (LEV) program that includes a sales mandate for ZEVs starting in 1988. The New York State Department of Environmental Conservation (NYSDEC) was required to perform a technology review of zero-emission vehicles (ZEVs) in 1994, and examine technology developments and issues relating to ZEV performance in New York State, by the amendments to 6NYCRR Part 218, February 1992. The Final Report presents an overview of technology as of the spring of 1995, and a projection of technology status over the next 10 years.

  3. Smog Check II Evaluation Part II: Overview of Vehicle

    E-Print Network [OSTI]

    Denver, University of

    Smog Check II Evaluation Part II: Overview of Vehicle Emissions . . . . . . . . . . . . Prepared in Later Sections ____________________ 1 3. Older Vehicles Have Higher Emissions on Average _____________ 3 4. The Vehicle Fleet Is Dominated by Newer Vehicles______________ 8 5. More Recent Vehicle Models

  4. Vehicle Emission Basics | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3EDepartmentDepartment of Energy Photo of aRemote Sens.Vehicle

  5. Future Emissions Impact On Off-Road Vehicles

    SciTech Connect (OSTI)

    Kirby Baumgard; Steve Ephraim

    2001-04-18T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    1999-02-01T23:59:59.000Z

    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.

  7. Carbonyl Emissions from Gasoline and Diesel Motor Vehicles Chris A. Jakober, 2

    E-Print Network [OSTI]

    1 Carbonyl Emissions from Gasoline and Diesel Motor Vehicles 1 Chris A0205CH11231. LBNL752E #12;Carbonyl Emissions from Gasoline and Diesel Motor Vehicles 1Chris A-duty vehicles (LDVs) and heavy-duty diesel powered vehicles (HDDVs) operated on chassis dynamometers were

  8. WHERE ARE THE ELECTRIC VEHICLES?1 A SPATIAL MODEL FOR VEHICLE-CHOICE COUNT DATA2

    E-Print Network [OSTI]

    Kockelman, Kara M.

    1 WHERE ARE THE ELECTRIC VEHICLES?1 A SPATIAL MODEL FOR VEHICLE-CHOICE COUNT DATA2 3 T. Donna Chen4 ABSTRACT29 30 Electric vehicles (EVs) are predicted to increase in market share as auto manufacturers: Electric vehicles, spatial count modeling, vehicle choice, vehicle ownership,1 consumer behavior

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

    SciTech Connect (OSTI)

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

    2012-01-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    2011-10-01T23:59:59.000Z

    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.

  11. Total energy cycle energy use and emissions of electric vehicles.

    SciTech Connect (OSTI)

    Singh, M. K.

    1999-04-29T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Millstein, Dev E.; Harley, Robert A

    2010-01-01T23:59:59.000Z

    use emissions from heavy-duty diesel vehicles. Environ. Sci.Sci. Technol. (7) Johnson, T. V. Diesel Emission Control inNO x control on heavy-duty diesel truck emissions. Environ.

  13. A Midwest Regional Inventory of Heavy-Duty Diesel Vehicle Emissions

    E-Print Network [OSTI]

    Wisconsin at Madison, University of

    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-duty diesel vehicles (HDDV) for a ten-state Midwest region (Mississippi Valley Freight Coalition) using

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

    E-Print Network [OSTI]

    Michalek, Jeremy J.

    emissions and oil consumption from conventional vehicles, hybrid-electric vehicles (HEVs), plug-in hybrid efficient approach to emissions and oil consumption reduction, lifetime cost of plug-in vehicles must gaso- line consumption, helping to diminish dependency on imported oil. Recognizing these benefits, US

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

    SciTech Connect (OSTI)

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

    1993-06-01T23:59:59.000Z

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

  16. Full-fuel-cycle approach to vehicle emissions modeling: A case study of gasoline in the southeastern region of the United States

    SciTech Connect (OSTI)

    Bell, S.R.; Gupta, M. [Univ. of Alabama, Tuscaloosa, AL (United States); Greening, L.A. [Lawrence Berkeley Lab., CA (United States)

    1995-09-01T23:59:59.000Z

    The use of full-fuel-cycle analysis as a scientific, economic, and policy tool for the evaluation of alternative sources of transportation energy has become increasingly widespread. However, consistent methods for performance of these types of analyses are only now becoming recognized and utilized. The work presented here provides a case study of full-fuel-cycle analysis methods applied to the evaluation of gasoline in the southeastern region of the United States. Results of the study demonstrate the significance of nonvehicle processes, such as fuel refining, in terms of energy expenditure and emissions production. Unique to this work is the application of the MOBILE5 mobile emissions model in the full-fuel-cycle analysis. Estimates of direct and indirect greenhouse gas production are also presented and discussed using the full-fuel-cycle analysis method.

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

    E-Print Network [OSTI]

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

    1989-01-01T23:59:59.000Z

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

  18. Measurement of running loss emissions from in-use vehicles (CRC project E-35). Final report

    SciTech Connect (OSTI)

    McClement, D.; Dueck, J.A.; Hall, B.

    1998-02-16T23:59:59.000Z

    A total of one hundred and fifty randomly procured in-use vehicles were tested in Mesa, Arizona during the summer months of 1997. Running loss hydrocarbon emissions were measured using a dynamometer enclosed in an evaporative emissions enclosure (SHED). New vehicle evaporative emission certification test equipment specifications, test procedures, and quality control limits were used, with specified exceptions required to test publicly owned in-use vehicles. A thorough inspection of vehicle components related to evaporative emissions was performed on each vehicle following the initial test with the vehicles in the `as-received` condition. Thirty vehicles were selected for repairs and were retested following repairs. Ten vehicles were selected for as-received replicate testing.

  19. Optical and Physical Properties from Primary On-Road Vehicle Particle Emissions And Their Implications for Climate Change

    E-Print Network [OSTI]

    Strawa, A.W.

    2010-01-01T23:59:59.000Z

    vehicle and diesel truck emissions on climate change. Tablediesel trucks dominated the particle emissions was largest,that diesel trucks produced most of the emissions (see Table

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012Energy ReliabilityNewsEnergy Vehicle Emissions to Meet

  1. Emission Control Cost-Effectiveness of Alternative-Fuel Vehicles

    E-Print Network [OSTI]

    Wang, Quanlu; Sperling, Daniel; Olmstead, Janis

    1993-01-01T23:59:59.000Z

    vehicles, E85 (mixture of 85%ethanol and 15%gasoline byemissions from ethanol vehicles opexatlng on E85 were not

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

    Broader source: Energy.gov [DOE]

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

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

    E-Print Network [OSTI]

    Lutsey, Nicholas P.; Sperling, Dan

    2007-01-01T23:59:59.000Z

    goals. Science 301, 506–508. General Motors Canada (GM Canada), 2005. Vehicle emissions & fuels. Canada, 2006. Canada’s clean

  4. Fact #771: March 18, 2013 California Zero-Emission Vehicle Mandate...

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

    December 27, 2012, allowed the Amendments to the California Zero Emission Vehicle (ZEV) Regulation to become effective immediately. California had passed the law in early 2012,...

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

    SciTech Connect (OSTI)

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

    2006-05-01T23:59:59.000Z

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

  6. Improving efficiency of a vehicle HVAC system with comfort modeling...

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

    efficiency of a vehicle HVAC system with comfort modeling, zonal design, and thermoelectric devices Improving efficiency of a vehicle HVAC system with comfort modeling, zonal...

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

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

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

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

    SciTech Connect (OSTI)

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

    2012-04-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Zhao, Hengbing; Burke, Andy

    2008-01-01T23:59:59.000Z

    internal combustion engine vehicles, the hydrogen fuel cell vehicle has the advantages of high energy efficiency and low emissions

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

    E-Print Network [OSTI]

    Collantes, Gustavo O

    2006-01-01T23:59:59.000Z

    emission goal cannot be achieved by merely improving the mainstream technology (internal combustion engine),emissions equivalent to a certain, bigger number of hybrid electric vehicles, and because internal combustion engines

  11. Relative ozone forming potential of methanol-fueled vehicle emissions and gasoline-fueled vehicle emisons in outdoor smog chambers. Final report

    SciTech Connect (OSTI)

    Jeffries, H.E.; Sexton, K.G.

    1995-01-01T23:59:59.000Z

    This experimental program compares the relative NO oxidation and O3 forming capabilities of surrogate VOC mixtures that are representative of urban air, emissions from vehicles using methanol fuels, and emission from vehicles using industry-average gasoline and Fuel F, one of the reformulated fuels used in the Auto/Oil test program. The urban VOC mixture was based upon ambient air analyses conducted by EPA for 6-9 AM in 41 cities over the period 1984-1988. The automotive VOC mixtures were based upon exhaust, evaporative, and running loss measurements made in the Auto/Oil Air Quality Improvement Research Program and upon the application of EPA`s MOBILE4 emissions model applied in an Urban Airshed scenario in Dallas/Fort Worth in the year 2005. In addition to testing the relative reactivity of each VOC mixture against the other mixtures, the majority of the experiments used mixtures in which 50% of the carbon was from urban mix and 50% of the carbon was from industry-average gasoline vehicle emissions or 50% of the carbon was from the methanol-fueled vehicle emissions. Some experiments were also conducted with higher fractions of formaldehyde (HCHO) in either the urban mix or in the methanol mix. Another set of experiments compared just the alkane and alkene fractions while in another set, just the aromatic species reactivities were compared.

  12. Modelling and control strategy development for fuel cell electric vehicles

    E-Print Network [OSTI]

    Peng, Huei

    Modelling and control strategy development for fuel cell electric vehicles Andreas Schell b , Huei applicable to the development of fuel cell electric vehicles (FCEVs) and hybrid electric vehicles (HEVs reserved. Keywords: Fuel cell electric vehicle; Hybrid vehicles; Modelling 1. Introduction Advanced

  13. Reduction in Vehicle Idling Emissions Using RFID Parking Permits Dawson, Pakes-Ahlman, Graham, Gutierrez, Vilasdaechanont

    E-Print Network [OSTI]

    Sprott, Julien Clinton

    1 Reduction in Vehicle Idling Emissions Using RFID Parking Permits 9/20/13 Dawson, Pakes Frequency Identification permits (RFID) allow drivers to remain in their vehicles without coming this conversion to RFID equates to shorter vehicle queues, lower idling time and, ultimately, lower fuel

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

    Reports and Publications (EIA)

    2006-01-01T23:59:59.000Z

    The state of California was given authority under the Clean Air Act Amendments of 1990 (CAAA90) to set emissions standards for light-duty vehicles that exceed federal standards. In addition, other states that do not comply with the National Ambient Air Quality Standards (NAAQS) set by the Environmental Protection Agency under CAAA90 were given the option to adopt Californias light-duty vehicle emissions standards in order to achieve air quality compliance. CAAA90 specifically identifies hydrocarbon, carbon monoxide, and NOx as vehicle-related air pollutants that can be regulated. California has led the nation in developing stricter vehicle emissions standards, and other states have adopted the California standards.

  15. Shaping the Terms of Competition: Environmental Regulation and Corporate Strategies to Reduce Diesel Vehicle Emissions

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Diesel Vehicle Emissions by Christine Bik-Kay Ng B.S., Civil and Environmental Engineering University Strategies to Reduce Diesel Vehicle Emissions by Christine Bik-Kay Ng Submitted to the Engineering Systems. This research explains the conditions under which competitive regulatory strategies are pursued in the diesel

  16. Zero-emission vehicle technology assessment. Final report

    SciTech Connect (OSTI)

    Woods, T.

    1995-08-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Bertini, Robert L.

    that minimizes vehicle emissions during design of routes in congested environments with time-dependent travel speeds, hard time windows, andcapacityconstraints.ThiscreatesanewtypeofVRP,theemissions vehicle routing problem (EVRP). BACKGROUND AND LITERATURE REVIEW There is extensive literature related to vehicle

  18. Argonne's Michael Wang talks about the GREET Model for reducing vehicle emi

    SciTech Connect (OSTI)

    Michael Wang

    2012-07-25T23:59:59.000Z

    To fully evaluate energy and emission impacts of advanced vehicle technologies and new transportation fuels, the fuel cycle from wells to wheels and the vehicle cycle through material recovery and vehicle disposal need to be considered. Sponsored by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE), Argonne has developed a full life-cycle model called GREET (Greenhouse gases, Regulated Emissions, and Energy use in Transportation). It allows researchers and analysts to evaluate various vehicle and fuel combinations on a full fuel-cycle/vehicle-cycle basis. The first version of GREET was released in 1996. Since then, Argonne has continued to update and expand the model. The most recent GREET versions are the GREET 1 2012 version for fuel-cycle analysis and GREET 2.7 version for vehicle-cycle analysis.

  19. Argonne's Michael Wang talks about the GREET Model for reducing vehicle emi

    ScienceCinema (OSTI)

    Michael Wang

    2013-06-05T23:59:59.000Z

    To fully evaluate energy and emission impacts of advanced vehicle technologies and new transportation fuels, the fuel cycle from wells to wheels and the vehicle cycle through material recovery and vehicle disposal need to be considered. Sponsored by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE), Argonne has developed a full life-cycle model called GREET (Greenhouse gases, Regulated Emissions, and Energy use in Transportation). It allows researchers and analysts to evaluate various vehicle and fuel combinations on a full fuel-cycle/vehicle-cycle basis. The first version of GREET was released in 1996. Since then, Argonne has continued to update and expand the model. The most recent GREET versions are the GREET 1 2012 version for fuel-cycle analysis and GREET 2.7 version for vehicle-cycle analysis.

  20. In-Vehicle Testing and Computer Modeling of Electric Vehicle Batteries

    E-Print Network [OSTI]

    Wang, Chao-Yang

    In-Vehicle Testing and Computer Modeling of Electric Vehicle Batteries B. Thomas, W.B. Gu, J was performed for both VRLA and NiMH batteries using Penn State University's electric vehicle, the Electric Lion and hybrid-electric vehicles. A thorough understanding of battery systems from the point of view

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

    SciTech Connect (OSTI)

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

    2012-03-30T23:59:59.000Z

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

  2. Trends in on-road vehicle emissions of ammonia

    E-Print Network [OSTI]

    Kean, A.J.

    2009-01-01T23:59:59.000Z

    calculation of diesel truck emission factors proceeded viaheavy-duty diesel truck ammonia emission rates prior to SCRto the diesel truck ammonia emission factor, the light-duty

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

    SciTech Connect (OSTI)

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

    2002-09-01T23:59:59.000Z

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

  4. Diesel Exhaust Emissions Control for Light-Duty Vehicles

    SciTech Connect (OSTI)

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

    2003-03-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    1998-12-31T23:59:59.000Z

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

  6. Vehicle Technologies Office Merit Review 2015: Zero Emission Cargo Transport Projects

    Broader source: Energy.gov [DOE]

    Presentation given by Houston-Galvelston Area Council at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about zero emission...

  7. Vehicle Technologies Office Merit Review 2015: Zero-Emission Heavy-Duty Drayage Truck Demonstration

    Broader source: Energy.gov [DOE]

    Presentation given by SCAQMD at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about zero-emission heavy-duty drayage truck...

  8. Vehicle Technologies Office Merit Review 2015: Zero Emission Cargo Transport II

    Broader source: Energy.gov [DOE]

    Presentation given by SCAQMD at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about zero emission cargo transport II.

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

    E-Print Network [OSTI]

    Paltsev, S.

    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 ...

  10. Drive-by Motor Vehicle Emissions: Immediate Feedback in Reducing Air

    E-Print Network [OSTI]

    Denver, University of

    , Denver, Colorado 80208 L E N O R A B O H R E N The National Center for Vehicle Emissions Control & Safety system. The Smart Sign used a combination of words, colors, and graphics to connect with its audience

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

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

    2014: Robust Nitrogen oxideAmmonia Sensors for Vehicle on-board Emissions Control CumminsORNL-FEERC CRADA: NOx Control & Measurement Technology for Heavy-Duty Diesel Engines...

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

    E-Print Network [OSTI]

    Kammen, Daniel M.

    EMISSIONS OF NITROUS OXIDE AND METHANE FROM CONVENTIONAL AND ALTERNATIVE FUEL MOTOR VEHICLES fuel passenger cars, light-duty trucks, and heavy-duty vehicles. 1. Introduction The use of energy/electric hybrid and fuel cell/electric hybrid drivetrain technologies offers the potential for significant

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

    SciTech Connect (OSTI)

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

    2010-06-14T23:59:59.000Z

    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

  14. Assessment of non-tailpipe hydrocarbon emissions from motor vehicles. Final report

    SciTech Connect (OSTI)

    Pierson, W.R.; Lawson, D.R.; Schorran, D.E.; Fujita, E.M.; Sagebiel, J.C.

    1997-03-01T23:59:59.000Z

    The report evaluates tailpipe and non-tailpipe hydrocarbon (HC) emissions from light-duty spark-ignition vehicles. The sources of information were unpublished data sets, generated mainly from 1990 through 1994, on emissions from volunteer fleets of in-use vehicles, and published Chemical Mass Balance source apportionments of HC in roadway tunnels and in urban air. The objective was to extract as much existing information as possible about magnitudes of running-loss emissions, hot soak emissions, diurnal emissions, and resting loss emissions, in absolute terms and in terms relative to one another and to tailpipe emissions. Relations between pressure- and purge-test failures and actual non-tailpipe emissions were also examined.

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

    E-Print Network [OSTI]

    Hellinga, Bruce

    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

  16. Modelling, Simulation, Testing, and Optimization of Advanced Hybrid Vehicle Powertrains

    E-Print Network [OSTI]

    Victoria, University of

    Modelling, Simulation, Testing, and Optimization of Advanced Hybrid Vehicle Powertrains By Jeffrey of the author. #12;ii Modelling, Simulation, Testing and Optimization of Advanced Hybrid Vehicle Powertrains supplant conventional ICEs as the dominant technology, most notably electric and hybrid powertrains

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

    SciTech Connect (OSTI)

    Not Available

    2011-02-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Denver, University of

    ON-ROAD REMOTE SENSING OF VEHICLE EMISSIONS IN MONTERREY, N.L. MEXICO Final Report Prepared for the University of Denver traveled to Monterrey, N.L. Mexico to monitor remotely the carbon monoxide (CO with other cities that have been sampled in Mexico. The on-road emission averages are similar to the latest

  19. Predicting Vehicle Crashworthiness: Validation of Computer Models for

    E-Print Network [OSTI]

    Berger, Jim

    Predicting Vehicle Crashworthiness: Validation of Computer Models for Functional and Hierarchical. Cafeo, Chin-Hsu Lin, and Jian Tu Abstract The CRASH computer model simulates the effect of a vehicle colliding against different barrier types. If it accurately represents real vehicle crash- worthiness

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

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

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

  1. 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

  2. Environment Canada's approach to the control of emissions from in-use vehicles

    SciTech Connect (OSTI)

    Polak, J.

    1980-01-01T23:59:59.000Z

    A study (begun in 1979 by a Technical Advisory Committee of federal and provincial environment and transport representatives and others) of in-use vehicles in Canada shows that automobile manufacturers were producing vehicles having emissions that were 30% better on the average than the regulated standard; cars in consumers' hands are very poorly tuned, particularly with respect to idle mixture, to the extent that the per cent idle carbon monoxide, carbon monoxide pollution, and fuel consumption in 1979 cars were improved 70, 36 and 4%, respectively, after tuning; emission performance makes a step function degradation during the first year of use due to carburetor maladjustment; in the absence of maladjustment, emissions degrade only slightly with age or use; and emission-oriented maintenance reduces fuel consumption. Principles for an effective emissions inspection program and recommendations for future study are discussed.

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

    SciTech Connect (OSTI)

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

    2012-08-01T23:59:59.000Z

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

  4. Projections of motor vehicle growth, fuel consumption and CO{sub 2} emissions for the next thirty years in China.

    SciTech Connect (OSTI)

    He, D.; Wang, M.

    2000-12-12T23:59:59.000Z

    Since the early 1990s, China's motor vehicles have entered a period of fast growth resultant from the rapid economic expansion. As the largest developing country, the fast growth of China's motor vehicles will have tremendous effects on the world's automotive and fuel market and on global CO{sub 2} emissions. In this study, we projected Chinese vehicle stocks for different vehicle types on the provincial level. First, we reviewed the historical data of China's vehicle growth in the past 10 years and the correlations between vehicle growth and economic growth in China. Second, we investigated historical vehicle growth trends in selected developed countries over the past 50 or so years. Third, we established a vehicle growth scenario based on the historical trends in several developed nations. Fourth, we estimated fuel economy, annual mileage and other vehicle usage parameters for Chinese vehicles. Finally, we projected vehicle stocks and estimated motor fuel use and CO{sub 2} emissions in each Chinese province from 2000 to 2030. Our results show that China will continue the rapid vehicle growth, increase gasoline and diesel consumption and increased CO{sub 2} emissions in the next 30 years. We estimated that by year 2030, Chinese motor vehicle fuel consumption and CO{sub 2} emissions could reach the current US levels.

  5. Model Based Vehicle Tracking for Autonomous Driving in Urban Environments

    E-Print Network [OSTI]

    Model Based Vehicle Tracking for Autonomous Driving in Urban Environments Anna Petrovskaya environments. This paper describes moving vehicle tracking module that we developed for our autonomous driving in this area. DARPA has organized a series of competitions for autonomous vehicles. In 2005, autonomous

  6. Vehicle Trajectory Prediction based on Motion Model and Maneuver Recognition

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Vehicle Trajectory Prediction based on Motion Model and Maneuver Recognition Adam Houenou, Philippe is a crucial task for an autonomous vehicle, in order to avoid collisions on its planned trajectory. It is also necessary for many Advanced Driver Assistance Systems, where the ego- vehicle's trajectory has

  7. Light duty vehicle full fuel cycle emissions analysis. Topical report, April 1993-April 1994

    SciTech Connect (OSTI)

    Darrow, K.G.

    1994-04-01T23:59:59.000Z

    The report provides a methodology for analyzing full fuel cycle emissions of alternative fuels for vehicles. Included in this analysis is an assessment of the following fuel cycles relevant to vehicle use: gasoline, reformulated gasoline, natural gas, liquefied petroleum gas, electric power (with onboard battery storage), ethanol, and methanol fuels. The analysis focuses on basic criteria pollutants (reactive organic gases, nitrous oxides, carbon monoxide, sulfurous oxides, and particulates less than 10 microns (PM10)). Emissions of greenhouse gases (carbon dioxide, methane, and nitrous oxide) are also defined. The analysis was conducted for two cases, United States and the State of California and two time frames, current and year 2000.

  8. Vehicle Modeling and Simulation | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02 TUEValidation of& Systems Simulation|Modeling and

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

    SciTech Connect (OSTI)

    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

    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.

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

    E-Print Network [OSTI]

    Su, Xiao

    Continuous charging batteries by solar PV while driving the vehicle in sunny days, and parking in open lot and testing P-2 Sponsors: SJSU-COE, SunPower Corp. San Jose, and Clean Battery Technologies Inc. Santa Clara Base: 4' wide x 8'-6" long Power Sources: Human pedaling/ Electricity/Solar PV Freight Weight: 1200 lbs

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

    Reports and Publications (EIA)

    2005-01-01T23:59:59.000Z

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

  12. Modeling Grid-Connected Hybrid Electric Vehicles Using ADVISOR

    SciTech Connect (OSTI)

    Markel, T.; Wipke, K.

    2001-01-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2010-12-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Denver, University of

    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

  15. 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]

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

    2010-01-01T23:59:59.000Z

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

  16. Motor Vehicle Emission Simulator (MOVES) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLu anMicrogreenMoon Lake ElectricInformationMoserVehicle

  17. Alternative Fuels Data Center: Alternative Fuel Vehicles Lower Emissions in

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProducts (VAP)MassachusettsExperimental VehicleNaturalPropane Delivery

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

    SciTech Connect (OSTI)

    Wang, M.Q.

    1997-05-20T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2004-06-14T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2009-03-31T23:59:59.000Z

    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.

  1. 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]

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

    2010-01-01T23:59:59.000Z

    solely from stored electric energy during the day. With theIn Hybrid Electric Vehicles on Energy and Emissions UsingIn Hybrid Electric Vehicles on Energy and Emissions Using

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

    SciTech Connect (OSTI)

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

    2006-12-20T23:59:59.000Z

    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

  3. Vehicle Technologies Office Merit Review 2015: Modeling for Light and Heavy Vehicle Market Analysis

    Broader source: Energy.gov [DOE]

    Presentation given by Energetics at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about modeling for light and heavy...

  4. Vehicle Technologies Office Merit Review 2015: Technical Cost Modeling for Vehicle Lightweighting

    Broader source: Energy.gov [DOE]

    Presentation given by IBIS Associates at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about technical cost modeling for...

  5. Measuring congestion and emissions : a network model for Mexico City

    E-Print Network [OSTI]

    Amano, Yasuaki Daniel, 1978-

    2004-01-01T23:59:59.000Z

    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 ...

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

    SciTech Connect (OSTI)

    Hadder, G.R.

    1995-11-01T23:59:59.000Z

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

  7. Mileage efficiency and relative emission of automotive vehicles

    E-Print Network [OSTI]

    Patankar, Neelesh A

    2015-01-01T23:59:59.000Z

    Physics dictates that cars with small mass will travel more miles per gallon (mpg) compared to massive trucks. Does this imply that small cars are more efficient machines? In this work a mileage efficiency metric is defined as a ratio of actual car mileage (mpg) to the mileage of an ideal car. This metric allows comparison of efficiencies of cars with different masses and fuel types. It is as useful to quantify efficiencies of cars as the concept of drag coefficient is to quantify the efficacy of their aerodynamic shapes. Maximum mileage and lowest CO2 emission of conventional gasoline cars, at different driving schedules, is reported based on the concept of an ideal car. This can help put government imposed standards in a rigorous context.

  8. Vehicle Technologies Office: 2009 Advanced Vehicle Technology...

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

    Well-to-Wheels Analysis of Energy Use and Greenhouse Gas Emissions of Plug-In Hybrid Electric Vehicles Vehicle Technologies Office: 2008 Advanced Vehicle Technology Analysis...

  9. Business models for sustainable technologies: Exploring business model evolution in the case of electric vehicles

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    of electric vehicles René Bohnsacka , Jonatan Pinkseb , & Ans Kolka a University of Amsterdam Business School in the case of electric vehicles Abstract Sustainable technologies challenge prevailing business practices models for electric vehicles. Based on a qualitative analysis of electric vehicle projects of key

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

    E-Print Network [OSTI]

    Burke, A.F.; Miller, M.

    1997-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Delucchi, Mark

    2005-01-01T23:59:59.000Z

    cell vehicle Methanol (M100) fuel-cell vehicle Ethanol (methanol), fuel feedstocks (e.g. , coal), and vehicle types (e.g. , fuel-cell vehicle).

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

    E-Print Network [OSTI]

    Delucchi, Mark

    2005-01-01T23:59:59.000Z

    cell vehicle Methanol (M100) fuel-cell vehicle Ethanol (methanol), fuel feedstocks (e.g. , coal), and vehicle types (e.g. , fuel-cell vehicle).

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

    SciTech Connect (OSTI)

    Malikopoulos, Andreas [ORNL

    2013-01-01T23:59:59.000Z

    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.

  14. Photon emission within the linear sigma model

    E-Print Network [OSTI]

    F. Wunderlich; B. Kampfer

    2014-12-22T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Cohen, Ronald C.

    Chemical Composition of Gas-Phase Organic Carbon Emissions from Motor Vehicles and Implications, United States *S Supporting Information ABSTRACT: Motor vehicles are major sources of gas-phase organic the two methods except for products of incomplete combustion, which are not present in uncombusted fuels

  16. Measurement of vehicle emissions and the associated dispersion near roadways

    E-Print Network [OSTI]

    Hlavinka, M. W

    1986-01-01T23:59:59.000Z

    air po)lution inodels by collec4ing data, for use in thc verification of these models. This objectives is accomplished through the following ma)or tasks: (l) Collect, ion of a large roadway air pollution data hase on magnetic t, ape so that... correla), iona to calcula4e the dispersion parame- ters. Several authors (Rao, et sl. and I'skridge& et sl. ' ) have suggested that, induced turbulence near roadways due 4o ), he tra)fic may play a larger role in pol)utant disper- sion I, han a4...

  17. Measurement of vehicle emissions and the associated dispersion near roadways 

    E-Print Network [OSTI]

    Hlavinka, M. W

    1986-01-01T23:59:59.000Z

    Stud&ca 71 CIIAPTER V DA'I'A PROCI'SSI&NG 73 A. Radian DAKI' 73 B. Balcones Computer, C. Balcones Ravv Data, Reduction 74 77 CIIAP'I'ER. Vl. RESULTS 80 A. Analysis of Data Acc?racy Analog Io Dig&tal Converter Meteorological Inst, rurnents... that 4he model is use&i vvilh&n Lli&& speed arid acceleration ranges sp&inned by Ihc modal data. Mass Balance Techni ue '1'l&e calculation of a polluLant einission feel, nr for non-reactive species mav be calculat&d by the use of concentral, ion pro...

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

    SciTech Connect (OSTI)

    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

    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.

  19. Zhang, K., and H.C. Frey, "Road Grade Estimation for On-Road Vehicle Emissions Modeling Using LIDAR Data," Proceedings, Annual Meeting of the Air & Waste Management Association, June 20-23, 2005, Minneapolis, MN

    E-Print Network [OSTI]

    Frey, H. Christopher

    is defined as the instantaneous power per unit mass of the vehicle and can be calculated based upon speed Data," Proceedings, Annual Meeting of the Air & Waste Management Association, June 20-23, 2005 and Environmental Engineering, Campus Box 7908, Raleigh, NC 27695 ABSTRACT Vehicle Specific Power (VSP) can be used

  20. Real-World Emissions from Model Year 1993, 2000, and 2010 Passenger Cars

    E-Print Network [OSTI]

    Ross, M.

    2010-01-01T23:59:59.000Z

    emissions. To control running loss emissions, CARBhas established a running loss emission standard of 0.05during vehicle operation. 3) Running losses, the evaporative

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

    SciTech Connect (OSTI)

    National Energy Technology Laboratory

    2002-07-31T23:59:59.000Z

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

  2. CONTROL-ORIENTED PLANAR MOTION MODELING OF UNMANNED SURFACE VEHICLES

    E-Print Network [OSTI]

    Virginia Tech

    CONTROL-ORIENTED PLANAR MOTION MODELING OF UNMANNED SURFACE VEHICLES C. Sonnenburg, A. Gadre, D effective model-based control design, (2) sufficiently simple to allow straight forward parameter. A first order steering model relates steering angle to turn rate. A second order steering model relates

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

    SciTech Connect (OSTI)

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

    2013-01-01T23:59:59.000Z

    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.

  4. Contribution of vehicle emissions to ambient carbonaceous particulate matter: A review and synthesis of the available data in the South Coast Air Basin. Final report

    SciTech Connect (OSTI)

    Cass, G.R.

    1997-02-01T23:59:59.000Z

    Table of Contents: Executive Summary; Introduction; Ambient Carbonaceous Particulate Matter in the South Coast Air Basin; Measurements of Emissions from In-Use Motor Vehicles in the South Coast Air Basin; Integration of Emissions Measurements into Comprehensive Emissions Inventories; Relating Emissions fom Motor Vehicles to Particulate Air Quality; Synthesis: The Combined Effect of All Vehicle-Related Source Contributions Acting Together; Trends in More Recent Years; Opportunities for Further Research; References; Appendix A: Detailed Mass Emissions Rates for Organic Compounds from Motor Vehicle Exhaust; and Appendix B: Organic Compounds Emitted from Tire Dust, Paved Road Dust, and Brake Lining Wear Dust.

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

    E-Print Network [OSTI]

    Michalek, Jeremy J.

    for minimum life cycle greenhouse gas emissions and cost Elizabeth Traut a,n , Chris Hendrickson b,1 , Erica and dedicated workplace charging infrastructure in the fleet for minimum life cycle cost or GHG emissions over vehicle and battery costs are the major drivers for PHEVs and BEVs to enter and dominate the cost

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

    E-Print Network [OSTI]

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

    1989-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Lipman, Timothy Edward

    1999-01-01T23:59:59.000Z

    The Promise of Methanol Fuel Cell Vehicles, For the AmericanCosts of Direct-Methanol Fuel Cell Vehicles Introductionof hydrogen and methanol fuel cell vehicles. Additionally, I

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

    E-Print Network [OSTI]

    Lipman, Timothy Edward

    1999-01-01T23:59:59.000Z

    methanol fuel cell (DMFC) vehicle could combine some of theand ICEVs. Like DHFVCs, DMFC vehicles (DMFCVs) would producefuel cell electric vehicle DMFC = direct-methanol fuel cell

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

    E-Print Network [OSTI]

    Lipman, Timothy E.

    1999-01-01T23:59:59.000Z

    methanol fuel cell (DMFC) vehicle could combine some of theand ICEVs. Like DHFVCS, DMFC vehicles (DMFCVS) would producefuel cell electric vehicle DMFC = direct-methanol fuel cell

  10. Size-Resolved Particle Number and Volume Emission Factors for On-Road Gasoline and Diesel Motor Vehicles

    SciTech Connect (OSTI)

    Ban-Weiss, George A.; Lunden, Melissa M.; Kirchstetter, Thomas W.; Harley, Robert A.

    2009-04-10T23:59:59.000Z

    Average particle number concentrations and size distributions from {approx}61,000 light-duty (LD) vehicles and {approx}2500 medium-duty (MD) and heavy-duty (HD) trucks were measured during the summer of 2006 in a San Francisco Bay area traffic tunnel. One of the traffic bores contained only LD vehicles, and the other contained mixed traffic, allowing pollutants to be apportioned between LD vehicles and diesel trucks. Particle number emission factors (particle diameter D{sub p} > 3 nm) were found to be (3.9 {+-} 1.4) x 10{sup 14} and (3.3 {+-} 1.3) x 10{sup 15} kg{sup -1} fuel burned for LD vehicles and diesel trucks, respectively. Size distribution measurements showed that diesel trucks emitted at least an order of magnitude more particles for all measured sizes (10 < D{sub p} < 290 nm) per unit mass of fuel burned. The relative importance of LD vehicles as a source of particles increased as D{sub p} decreased. Comparing the results from this study to previous measurements at the same site showed that particle number emission factors have decreased for both LD vehicles and diesel trucks since 1997. Integrating size distributions with a volume weighting showed that diesel trucks emitted 28 {+-} 11 times more particles by volume than LD vehicles, consistent with the diesel/gasoline emission factor ratio for PM{sub 2.5} mass measured using gravimetric analysis of Teflon filters, reported in a companion paper.

  11. Advances in Electric Drive Vehicle Modeling with Subsequent Experimentation and Analysis

    E-Print Network [OSTI]

    Hausmann, Austin Joseph

    2012-08-31T23:59:59.000Z

    A combination of stricter emissions regulatory standards and rising oil prices is leading many automotive manufacturers to explore alternative energy vehicles. In an effort to achieve zero tail pipe emissions, many of these ...

  12. 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]

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

    2010-01-01T23:59:59.000Z

    producing zero emissions. . The EPRI studies mentioned abovetwo technical reports, EPRI (2007) published Environmentalsport utility vehicles (EPRI, 2002) An 80% required safety

  13. Vehicle Model Validation | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02 TUEValidation of& Systems Simulation|

  14. An Optimization Model for Plug-In Hybrid Electric Vehicles

    SciTech Connect (OSTI)

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

    2011-01-01T23:59:59.000Z

    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.

  15. Vehicle Technologies Office Merit Review 2014: Robust Nitrogen oxide/Ammonia Sensors for Vehicle on-board Emissions Control

    Broader source: Energy.gov [DOE]

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

  16. Vehicle Technologies Office Merit Review 2015: Robust Nitrogen Oxide/Ammonia Sensors for Vehicle On-board Emissions Control

    Broader source: Energy.gov [DOE]

    Presentation given by Los Alamos National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about robust...

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

    SciTech Connect (OSTI)

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

    2011-01-01T23:59:59.000Z

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

  18. 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]

    Strecker, Bryan Anthony

    2012-12-31T23:59:59.000Z

    through the update of embedded time-sheet emissions lookup tables using EPA's Motor Vehicle Emissions Simulator (MOVES). This simulation package utilizes a statistical database of over 3000 counties in the continental United States in calculating...

  19. Vehicle Technologies Office Merit Review 2015: Vehicle Thermal Systems Modeling in Simulink

    Broader source: Energy.gov [DOE]

    Presentation given by National Renewable Energy Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about vehicle...

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

    Broader source: Energy.gov [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...

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

    E-Print Network [OSTI]

    California at Davis, University of

    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

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

    SciTech Connect (OSTI)

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

    1992-01-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    1992-12-31T23:59:59.000Z

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

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

    Office of Energy Efficiency and Renewable Energy (EERE) 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...

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

    E-Print Network [OSTI]

    Karplus, Valerie

    2012-07-31T23:59:59.000Z

    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 ...

  6. Analysis, Modeling and Neural Network Traction Control of an Electric Vehicle

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Analysis, Modeling and Neural Network Traction Control of an Electric Vehicle without Differential Terms--Electric vehicle, electric motor, speed estimation, neural networks, traction control. I. INTRODUCTION Recently, Electric Vehicles (EVs) including fuel-cell and hybrid vehicles have been developed very

  7. DEVELOPMENT AND APPLICATION OF A NETWORK-BASED SHARED AUTOMATED VEHICLE MODEL IN AUSTIN, TEXAS

    E-Print Network [OSTI]

    Kockelman, Kara M.

    DEVELOPMENT AND APPLICATION OF A NETWORK-BASED SHARED AUTOMATED VEHICLE MODEL IN AUSTIN, TEXAS automated vehicle (SAV), combining features of short term rentals with the vehicles' powerful automated self. INTRODUCTION Vehicle automation appears poised to revolutionize the way in which we interface

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

    E-Print Network [OSTI]

    Victoria, University of

    Modelling and Design Optimization of Low Speed Fuel Cell Hybrid Electric Vehicles by Matthew Blair electric vehicles, empirical fuel cell system data has been incorporated into the NREL's vehicle design and simulation tool, ADVISOR (ADvanced Vehicle SimulatOR), to predict the performance of a low-speed, fuel cell

  9. Long-Term Trends in Motor Vehicle Emissions in U.S. Urban Areas Brian C. McDonald and Drew R. Gentner

    E-Print Network [OSTI]

    Cohen, Ronald C.

    Long-Term Trends in Motor Vehicle Emissions in U.S. Urban Areas Brian C. McDonald and Drew R to estimate long- term trends (1990-2010) in carbon monoxide (CO) emissions from motor vehicles. Non-methane hydrocarbons (NMHC) are estimated using ambient NMHC/CO ratios after controlling for nonvehicular sources

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

    Broader source: Energy.gov [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...

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

    SciTech Connect (OSTI)

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

    2011-02-22T23:59:59.000Z

    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.

  12. Modeling Electric Vehicle Benefits Connected to Smart Grids

    SciTech Connect (OSTI)

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

    2011-07-01T23:59:59.000Z

    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.

  13. Biofuels, Climate Policy and the European Vehicle Fleet

    E-Print Network [OSTI]

    Rausch, Sebastian

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

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

    E-Print Network [OSTI]

    Mendes, Goncalo

    2013-01-01T23:59:59.000Z

    Distributed Generation, Plug-in Electric Vehicles (PEVs), Energy Management, Multi-Building Modeling and Simulation Introduction The Green Islands

  15. Neural Network Based Energy Storage System Modeling for Hybrid Electric Vehicles

    SciTech Connect (OSTI)

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

    1999-08-01T23:59:59.000Z

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

  16. Vehicle Longitudinal Motion Modeling for nonlinear control K. El Majdoub c

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Vehicle Longitudinal Motion Modeling for nonlinear control K. El Majdoub c , F. Giri a,* , H Abstract-- The problem of modeling and controlling vehicle longitudinal motion is addressed for front wheel propelled vehicles. The chassis dynamics are modeled using relevant fundamental laws taking into account

  17. Clean Cities 2014 Vehicle Buyer's Guide (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2013-12-01T23:59:59.000Z

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

  18. Clean Cities 2011 Vehicle Buyer's Guide

    SciTech Connect (OSTI)

    Not Available

    2011-01-01T23:59:59.000Z

    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.

  19. Vehicle Technologies Office Merit Review 2015: MA3T—Modeling Vehicle Market Dynamics with Consumer Segmentation

    Broader source: Energy.gov [DOE]

    Presentation given by Oak Ridge National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about MA3T—modeling...

  20. Motor Vehicle Fleet Emissions by K I M B E R L Y S . B R A D L E Y ,

    E-Print Network [OSTI]

    Denver, University of

    Motor Vehicle Fleet Emissions by OP-FTIR K I M B E R L Y S . B R A D L E Y , K E V I N B . B R O O concentrations of carbon monoxide (CO), carbon dioxide (CO2), and nitrous oxide (N2O) caused by emissions from to average emissions results obtained from on-road exhaust analysis using individual vehicle remote sensing

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

    E-Print Network [OSTI]

    Su, Jemeng

    1981-01-01T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Su, Jemeng

    1981-01-01T23:59:59.000Z

    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...

  3. Advanced LD Engine Systems and Emissions Control Modeling and...

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

    LD Engine Systems and Emissions Control Modeling and Analysis Advanced LD Engine Systems and Emissions Control Modeling and Analysis 2012 DOE Hydrogen and Fuel Cells Program and...

  4. 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,...

  5. Advanced HD Engine Systems and Emissions Control Modeling and...

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

    HD Engine Systems and Emissions Control Modeling and Analysis Advanced HD Engine Systems and Emissions Control Modeling and Analysis 2012 DOE Hydrogen and Fuel Cells Program and...

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

    SciTech Connect (OSTI)

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

    2007-05-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Victoria, University of

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

  8. THE TRAVEL AND ENVIRONMENTAL IMPLICATIONS OF SHARED AUTONOMOUS VEHICLES, USING AGENT-BASED MODEL SCENARIOS

    E-Print Network [OSTI]

    Kockelman, Kara M.

    1 THE TRAVEL AND ENVIRONMENTAL IMPLICATIONS OF SHARED AUTONOMOUS VEHICLES, USING AGENT-BASED MODEL an owned asset to a service used on demand. The advent of autonomous or fully self-driving vehicles describes the design of an agent-based model for Shared Autonomous Vehicle (SAV) operations, the results

  9. Online Center of Gravity Estimation in Automotive Vehicles using Multiple Models and Switching

    E-Print Network [OSTI]

    Duffy, Ken

    Online Center of Gravity Estimation in Automotive Vehicles using Multiple Models and Switching and switching for realtime estimation of center of gravity (CG) position in automotive vehicles. The method utilizes simple linear vehicle models and assumes availability of standard stock automotive sensors. We

  10. Incorporating stakeholders' perspectives into models of new technology diffusion: The case of fuel-cell vehicles

    E-Print Network [OSTI]

    Collantes, Gustavo O

    2007-01-01T23:59:59.000Z

    engines. At time t = 0, gasoline HEVs enter the market, followed by hydrogen-hydrogen vehicles have no tailpipe emissions while at the same time offer private benefits relative to conventional internal combustion engine

  11. Modeling design changes in vehicle assembly systems : platform transition strategies and manufacturing flexibility

    E-Print Network [OSTI]

    Wüstemeyer, Christoph

    2014-01-01T23:59:59.000Z

    Driven by rising environmental and geopolitical concerns, regulations have been put in place over the last decade to compel car makers to lower the CO2 emissions of their cars. Due to these increasingly stringent vehicle ...

  12. Impact of California Reformulated Gasoline on Motor Vehicle Emissions. 2. Volatile Organic Compound Speciation and Reactivity

    E-Print Network [OSTI]

    Kirchstetter, Thomas; Singer, Brett; Harley, Robert

    1999-01-01T23:59:59.000Z

    diurnal, hot-soak, and running loss emissions lie somewherea contribution from running loss evaporative emissions. Asof diurnal, hot-soak, and running loss evaporative emissions

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

    E-Print Network [OSTI]

    Hajbabaei, Maryam

    2013-01-01T23:59:59.000Z

    Biodiesel Blends on NOx Emissions. SAE Technical Paper 2008,Energy Laboratory Diesel Emissions Control - Sulfur Effectsbetween NOx, Particulate Emission, and Fuel Consumption of a

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

    Broader source: Energy.gov [DOE]

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

  15. A simple model of spontaneous emission

    E-Print Network [OSTI]

    Krzysztof Piotr Wójcik

    2012-03-31T23:59:59.000Z

    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.

  16. Using Discrete-Event Simulation to Model Situational Awareness of Unmanned-Vehicle Operators

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

    but delegated to the automation onboard the unmanned vehicles (Sheridan, 1992). Reduced workload afforded1 Using Discrete-Event Simulation to Model Situational Awareness of Unmanned-Vehicle Operators Carl vehicles becomes increasingly realizable, the impact on operator situational awareness of such a paradigm

  17. An Ontology-based Model to Determine the Automation Level of an Automated Vehicle for

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    An Ontology-based Model to Determine the Automation Level of an Automated Vehicle for Co). In addition, an automated vehicle should also self-assess its own perception abilities, and not only perceive this idea, cybercars were designed as fully automated vehicles [3], thought since its inception as a new

  18. TOWARDS SONAR BASED PERCEPTION AND MODELLING FOR UNMANNED UNTETHERED UNDERWATER VEHICLES

    E-Print Network [OSTI]

    Garner, Philip N.

    TOWARDS SONAR BASED PERCEPTION AND MODELLING FOR UNMANNED UNTETHERED UNDERWATER VEHICLES B. Steer will be of critical importance in the development of flexible, adaptive and useful unmanned underwater vehicles will be of critical importance in the de- velopment of flexible, adaptive and useful unmanned un- derwater vehicles

  19. Hybrid Modeling and Experimental Cooperative Control of Multiple Unmanned Aerial Vehicles

    E-Print Network [OSTI]

    Fainekos, Georgios E.

    focused on single aerial vehicles. In particular, we have witnessed autonomous or aggressive control autonomous formation flying of autonomous aerial vehicles (UAVs) are [20]­[24]. In [22] and [23], the authorsHybrid Modeling and Experimental Cooperative Control of Multiple Unmanned Aerial Vehicles Selcuk

  20. Reducing the Particulate Emission Numbers in DI Gasoline Engines

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

    range used for stationary model Hull information Vehicle emission calibration Map optimization Particle min , ... Steady-state model Steady-state DoE measurements of test...

  1. 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]

    Thornhill, D. A.

    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 ...

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

    E-Print Network [OSTI]

    Evans, Christopher W. (Christopher William)

    2008-01-01T23:59:59.000Z

    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 ...

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

    Broader source: Energy.gov [DOE]

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

  4. Evaluating indoor exposure modeling alternatives for LCA: A case study in the vehicle repair industry

    SciTech Connect (OSTI)

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

    2009-05-01T23:59:59.000Z

    We evaluated three exposure models with data obtained from measurements among workers who use"aerosol" solvent products in the vehicle repair industry and with field experiments using these products to simulate the same exposure conditions. The three exposure models were the: 1) homogeneously-mixed-one-box model, 2) multi-zone model, and 3) eddy-diffusion model. Temporally differentiated real-time breathing zone volatile organic compound (VOC) concentration measurements, integrated far-field area samples, and simulated experiments were used in estimating parameters, such as emission rates, diffusivity, and near-field dimensions. We assessed differences in model input requirements and their efficacy for predictive modeling. The One-box model was not able to resemble the temporal profile of exposure concentrations, but it performed well concerning time-weighted exposure over extended time periods. However, this model required an adjustment for spatial concentration gradients. Multi-zone models and diffusion-models may solve this problem. However, we found that the reliable use of both these models requires extensive field data to appropriately define pivotal parameters such as diffusivity or near-field dimensions. We conclude that it is difficult to apply these models for predicting VOC exposures in the workplace. However, for comparative exposure scenarios in life-cycle assessment they may be useful.

  5. atmospheric emissions modeling: Topics by E-print Network

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

    pollution credits. Our model captures most of the features of the European Union Emissions Trading Scheme Carmona, Rene 107 Combined effects of anthropogenic emissions and...

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

    Broader source: Energy.gov [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...

  7. Vehicle Technologies Office Merit Review 2015: Particulate Emissions Control by Advanced Filtration Systems for GDI Engines

    Broader source: Energy.gov [DOE]

    Presentation given by Argonne National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about particulate...

  8. Vehicle Technologies Office Merit Review 2015: Fuel-Neutral Studies of Particulate Matter Transport Emissions

    Broader source: Energy.gov [DOE]

    Presentation given by Pacific Northwest National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about fuel...

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

    Broader source: Energy.gov [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...

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

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

    and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting ace079mukundan2012o.pdf More Documents & Publications Robust...

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

    E-Print Network [OSTI]

    Collantes, Gustavo

    2006-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Collantes, Gustavo O

    2006-01-01T23:59:59.000Z

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

  13. Dispersion modeling for prediction of emission factors for cattle feedyards

    E-Print Network [OSTI]

    Parnell, Sarah Elizabeth

    1994-01-01T23:59:59.000Z

    of state air pollution regulatory agencies will require accurate EPA AP-42 emission factors. A protocol was developed so that accurate emission factors can be determined using both source sampling data and dispersion modeling. In this study, an emission...

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

    E-Print Network [OSTI]

    Millstein, Dev E.; Harley, Robert A

    2010-01-01T23:59:59.000Z

    on heavy-duty diesel truck emissions. Environ. Sci. Technol.reduc- tions in diesel truck emissions are forecast to occurin on-road diesel truck emissions alone are much larger, 70

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

    E-Print Network [OSTI]

    Hajbabaei, Maryam

    2013-01-01T23:59:59.000Z

    Second Generation Biofuels on NOx Emissions for Clean DieselSecond Generation Biofuels on NOx Emissions for CARB DieselSecond Generation Biofuels on NOx Emissions for Clean Diesel

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

    SciTech Connect (OSTI)

    Stang, John H.

    2005-12-19T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    John H. Stang

    2005-12-31T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Hajbabaei, Maryam

    2013-01-01T23:59:59.000Z

    of Biodiesel and Second Generation Biofuels on NOx Emissionsof Biodiesel and Second Generation Biofuels on NOx EmissionsBiodiesel and Second Generation Biofuels on NO x Emissions

  19. Vehicle Technologies Office Merit Review 2015: Model Development and Analysis of Clean & Efficient Engine Combustion

    Broader source: Energy.gov [DOE]

    Presentation given by Lawrence Livermore National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about model...

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

    Broader source: Energy.gov [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...

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

    Broader source: Energy.gov [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...

  2. AVCEM: Advanced-Vehicle Cost and Energy Use Model

    E-Print Network [OSTI]

    Delucchi, Mark

    2005-01-01T23:59:59.000Z

    accounted separately), regenerative braking, battery thermalthere is no regenerative braking, and vehicle efficiency,iterative calculations. Regenerative braking is represented

  3. Updating and Enhancing the MA3T Vehicle Choice Model

    Broader source: Energy.gov [DOE]

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

  4. AVCEM: Advanced-Vehicle Cost and Energy Use Model

    E-Print Network [OSTI]

    Delucchi, Mark

    2005-01-01T23:59:59.000Z

    vehicles (BPEVs); • hydrogen fuel-cell-powered EVs (with or w/out peak-power device) (FCEVs); • methanol

  5. MOBILE6 Vehicle Emission Modeling Software | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLu an Group Jump to: navigation,LushuiLyme,MDL JumpMJMJCLAMOBILE6

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

    E-Print Network [OSTI]

    . Limited research has been done to characterize compressed natural gas (CNG) mass emissions and practically

  7. Temperature dependence of volatile organic compound evaporative emissions from motor vehicles

    E-Print Network [OSTI]

    Silver, Whendee

    emissions associated with venting of fuel tank vapors as temperature increases during the day, running loss

  8. New trends in vehicle dynamics: from modelling to control. Olivier SENAME

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    New trends in vehicle dynamics: from modelling to control. Olivier SENAME GIPSA-lab - Department approaches such as H approach for Linear Parameter Varying systems and Model predictive control have shown methods for modelling and control of subsystems and of the vehicle. The session will be organized

  9. 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 (OSTI)

    Whitney, K.

    2014-05-01T23:59:59.000Z

    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.

  10. Vehicle Technologies Office Merit Review 2015: ParaChoice: Parametric Vehicle Choice Modeling

    Broader source: Energy.gov [DOE]

    Presentation given by Sandia National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about ParaChoice:...

  11. 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]

    Boyer, Edmond

    ; 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

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

    Broader source: Energy.gov [DOE]

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

  13. Vehicle Technologies Office Merit Review 2015: Fuel and Lubricant Effects on Emissions Control Technologies

    Broader source: Energy.gov [DOE]

    Presentation given by Oak Ridge National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and vehicle technologies office annual merit review and peer evaluation meeting about fuel and...

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

    Broader source: Energy.gov [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...

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

    E-Print Network [OSTI]

    Lee, Joosung Joseph, 1974-

    2005-01-01T23:59:59.000Z

    (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 ...

  16. Tyre modelling for use in vehicle dynamics studies

    SciTech Connect (OSTI)

    Bakker, E.; Nyborg, L.; Pacejka, H.B.

    1987-01-01T23:59:59.000Z

    A new way of representing tyre data obtained from measurements in pure cornering and pure braking conditions has been developed in order to further improve the Dynamic Safety of vehicles. The method makes use of a formula with coefficients which describe some of the typifying quantities of a tyre, such as slip stiffnesses at zero slip and force and torque peak values. The formula is capable of describing the characteristics of side force, brake force and self aligning torque with great accuracy. This mathematical representation is limited to steady-state conditions during either pure cornering or pure braking and forms the basis for a model describing tyre behaviour during combined braking and cornering.

  17. Impacts of Oxygenated Gasoline Use on California Light-Duty Vehicle Emissions

    E-Print Network [OSTI]

    Kirchstetter, Thomas W.; Singer, Brett C.; Harley, Robert A.

    1996-01-01T23:59:59.000Z

    fuel and oxygenates (ethanol, MTBE, ETBE) emissions and onmeasured effects of MTBE, ETBE, and ethanol content on

  18. Submitted to Vehicle System Dynamics An Adaptive Lateral Preview Driver Model

    E-Print Network [OSTI]

    Peng, Huei

    of the vehicle. The proposed driver model is developed using the adaptive predictive control (APC) framework inspires our interest in understanding human steering actions and the development of a driver model on the response of the vehicle. These tests can be performed with a steering and speed control robot, and thus can

  19. Vehicle Technologies Office Merit Review 2014: Unified Modeling...

    Office of Environmental Management (EM)

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

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

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

    Division * NREL Relevance Temperature Has a Significant Impact on Electric Drive Energy Consumption 3 Vehicle Dynamometer Testing Source: ANL APRF - 2013 Ford Cmax Energi Fleet...

  1. Modeled and observed ozone sensitivity to mobile-source emissions in Mexico City

    E-Print Network [OSTI]

    Zavala, M.

    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 ...

  2. Household Vehicle Ownership by Vehicle Type: Application of a Multivariate Negative Binomial Model

    E-Print Network [OSTI]

    Kockelman, Kara M.

    related to household size, income, population density (of zone of residence), and vehicle prices 1970's and early 1980's. Continual improvements in computation power permit more rigorous statistical to new energy issues and a focus on global warming policies, renewed consideration should be given

  3. Optical and Physical Properties from Primary On-Road Vehicle Particle Emissions And Their Implications for Climate Change

    E-Print Network [OSTI]

    , 2008). Many global climate models take particulate mass emissions from inventories, assume a size not always yield satisfactory results. In one study the amount of BC in current aerosol inventories had

  4. Developing a methodology to account for commercial motor vehicles using microscopic traffic simulation models

    E-Print Network [OSTI]

    Schultz, Grant George

    2004-09-30T23:59:59.000Z

    with an increased availability of CMV data. The primary sources of these data are automatic vehicle classification (AVC) and weigh-in-motion (WIM). Microscopic traffic simulation models have been used extensively to model the dynamic and stochastic nature...

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

    E-Print Network [OSTI]

    Hajbabaei, Maryam

    2013-01-01T23:59:59.000Z

    feedstock, biodiesel blend level, engine technology, andx emissions from biodiesel in newer engine technologies in aBiodiesel, Petrodiesel, Neat Methyl Esters, and Alkanes in a New Technology

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

    E-Print Network [OSTI]

    Nielsen, Eric

    2012-12-31T23:59:59.000Z

    their net CO2 emissions when a full life cycle analysis is considered, although some fuel system problems may arise with higher biofuel blends especially in cold weather....

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

    E-Print Network [OSTI]

    Hajbabaei, Maryam

    2013-01-01T23:59:59.000Z

    Diesel or Compressed Natural Gas. Environmental Science &Diesel or Compressed Natural Gas. Environmental Science &Emissions of a Variety of Natural Gas Engines. SAE Technical

  8. Impacts of Oxygenated Gasoline Use on California Light-Duty Vehicle Emissions

    E-Print Network [OSTI]

    Kirchstetter, Thomas W.; Singer, Brett C.; Harley, Robert A.

    1996-01-01T23:59:59.000Z

    possibly due to running loss evaporative emissions thatOnlyrunning exhaust and running loss evaporative emissionshad opposing effects on running loss evapo- gasoline shown

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

    E-Print Network [OSTI]

    Hajbabaei, Maryam

    2013-01-01T23:59:59.000Z

    x emissions from biodiesel in newer engine technologies in afeedstock, biodiesel blend level, engine technology, andBiodiesel, Petrodiesel, Neat Methyl Esters, and Alkanes in a New Technology

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

    Broader source: Energy.gov [DOE]

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

  11. Real-world emissions from model year 1993, 2000, and 2010 passenger cars

    SciTech Connect (OSTI)

    Ross, M.; Goodwin, R.; Watkins, R. [and others

    1995-11-01T23:59:59.000Z

    Air pollution by cars and light trucks is a major problem in metropolitan areas in the United States and around the world. Much of the discussion of this issue is based on the emissions per vehicle mile as determined under somewhat artificial testing conditions. The pollutants actually emitted vary considerably with the particular vehicle and the way it is driven, but the average emissions per mile are much higher than the test values. This report concerns the sources and levels of excess emissions, and the potential for reducing them. The history of automotive emissions regulation reveals remarkable success in reducing the emissions of carbon monoxide (CO), hydrocarbons (HC) and oxides of nitrogen (NO{sub x}) from new automobiles - as measured in certification tests. The grams-per-mile (g/mile) standards for these tests are stringent, with 96% reductions mandated in comparison to the estimated pre-control (mid-1960s) levels for CO and HC; and 75% reductions mandated for NO{sub x}. Powerful new technologies have been developed and incorporated into every new vehicle in order to accomplish these reductions. Most noteworthy are the catalytic converter and closed-loop engine controls; the latter includes sensors before and after the engine proper, and computer analysis of the information leading to real-time control of fuel injection, with the principal objective of maintaining just the right chemical balance of fuel and air. The average lifetime real-world g/mile emissions associated with conventional gasoline fueled cars for model years 1993, 2000, and 2010 have been projected. Results are discussed.

  12. Vehicle Technologies Office: Propulsion Systems

    Broader source: Energy.gov [DOE]

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

  13. Assessing the fuel Use and greenhouse gas emissions of future light-duty vehicles in Japan

    E-Print Network [OSTI]

    Nishimura, Eriko

    2011-01-01T23:59:59.000Z

    Reducing greenhouse gas (GHG) emissions is of great concern in Japan, as well as elsewhere, such as in the U.S. and EU. More than 20% of GHG emissions in Japan come from the transportation sector, and a more than 70% ...

  14. Multi-species On-Road Remote Sensing of Vehicle Emissions in Van Nuys, California

    E-Print Network [OSTI]

    Denver, University of

    ) Mode 0 20 1 0 3 2 Median 0.02 30 12 -0.5 26 2 Mean 0.16 67 186 -0.7 75 4 Mean Percentile* 83 68 79 11 73 56 * Percentile in which the mean emission rate is found when the fleet emissions are rank

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

    E-Print Network [OSTI]

    Stevens, Kenneth Michael

    1996-01-01T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Stevens, Kenneth Michael

    1996-01-01T23:59:59.000Z

    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...

  17. UPDATING THE FREIGHT TRUCK STOCK ADJUSTMENT MODEL: 1997 VEHICLE INVENTORY AND USE SURVEY DATA

    SciTech Connect (OSTI)

    Davis, S.C.

    2000-11-16T23:59:59.000Z

    The Energy Information Administration's (EIA's) National Energy Modeling System (NEMS) Freight Truck Stock Adjustment Model (FTSAM) was created in 1995 relying heavily on input data from the 1992 Economic Census, Truck Inventory and Use Survey (TIUS). The FTSAM is part of the NEMS Transportation Sector Model, which provides baseline energy projections and analyzes the impacts of various technology scenarios on consumption, efficiency, and carbon emissions. The base data for the FTSAM can be updated every five years as new Economic Census information is released. Because of expertise in using the TIUS database, Oak Ridge National Laboratory (ORNL) was asked to assist the EIA when the new Economic Census data were available. ORNL provided the necessary base data from the 1997 Vehicle Inventory and Use Survey (VIUS) and other sources to update the FTSAM. The next Economic Census will be in the year 2002. When those data become available, the EIA will again want to update the FTSAM using the VIUS. This report, which details the methodology of estimating and extracting data from the 1997 VIUS Microdata File, should be used as a guide for generating the data from the next VIUS so that the new data will be as compatible as possible with the data in the model.

  18. Modeling Workload Impact in Multiple Unmanned Vehicle Supervisory Control

    E-Print Network [OSTI]

    Donmez, B.D.

    2010-01-01T23:59:59.000Z

    Discrete event simulations for futuristic unmanned vehicle (UV) systems enable a cost and time effective methodology for evaluating various autonomy and human automation design parameters. Operator mental workload is an ...

  19. AVCEM: Advanced-Vehicle Cost and Energy Use Model

    E-Print Network [OSTI]

    Delucchi, Mark

    2005-01-01T23:59:59.000Z

    device, such as a high-power battery. AVCEM has over 1000source, such as a peak-power battery, drives the vehicle Thedevice (say, a high-power battery) or traction battery must

  20. Modeling human supervisory control in heterogeneous unmanned vehicle systems

    E-Print Network [OSTI]

    Nehme, Carl, 1981-

    2009-01-01T23:59:59.000Z

    Given advanced technology that relieves the human operator of low-level tasking and the future vision for network-centric operations, operator supervisory control of Unmanned Vehicle (UV) teams is likely to be a focal point ...

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

    Broader source: Energy.gov [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...

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

    E-Print Network [OSTI]

    Hajbabaei, Maryam

    2013-01-01T23:59:59.000Z

    Effects of Methyl Ester Biodiesel Blends on NOx Emissions.Increase When Burning Biodiesel; A New (Old) Theory. FuelE. ; Natarajan, M. Effects of Biodiesel Fuels Upon Criteria

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

    E-Print Network [OSTI]

    Lutsey, Nicholas P.

    2006-01-01T23:59:59.000Z

    production and use of ethanol fuel is being attributed toCH 4 emissions, Increased ethanol fuel mixing, 2002-2010 On-D. Santini, 1999. “Effects of Fuel Ethanol Use on Fuel-Cycle

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

    E-Print Network [OSTI]

    Lutsey, Nicholas P.

    2006-01-01T23:59:59.000Z

    production and use of ethanol fuel is being attributed toCH 4 emissions, Increased ethanol fuel mixing, 2002-2010 On-D. Santini, 1999. “Effects of Fuel Ethanol Use on Fuel-Cycle

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

    E-Print Network [OSTI]

    Hajbabaei, Maryam

    2013-01-01T23:59:59.000Z

    with a 10% aromatic, ultra-low sulfur diesel fuel used inequivalent 10% aromatic ultra-low sulfur diesel fuel used inx emissions compared to ultra-low sulfur diesel fuel (ULSD).

  6. Application for certification, 1991 model-year light-duty vehicles - Sterling

    SciTech Connect (OSTI)

    Not Available

    1992-01-01T23:59:59.000Z

    Every year, each manufacturer of passenger cars, light-duty trucks, motorcycles, or heavy-duty engines submits to EPA an application for certification. In the application, the manufacturer gives a detailed technical description of the vehicles or engineering data include explanations and/or drawings which describe engine/vehicle parameters such as basic engine design, fuel systems, ignition systems or exhaust and evaporative emission control systems. It also provides information on emission test procedures, service accumulation procedures, fuels to be used, and proposed maintenance requirements to be followed during testing. Section 16 of the application contains the results of emission testing, a statement of compliance to the regulations, production engine parameters, and a Summary Sheet Input Form on which issuance of a Certificate of Conformity is based.

  7. Stochastic reduced-order model for an automotive vehicle in presence of numerous local elastic modes in the low-

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Stochastic reduced-order model for an automotive vehicle in presence of numerous local elastic a high modal density in the low-frequency range, such as an automotive vehicle. This type of structure is applied on a complex computational model of an automotive vehicle. 1 INTRODUCTION This work is performed

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

    DOE Patents [OSTI]

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

    2014-01-14T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    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

    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.

  10. Climate and energy policy for U.S. passenger vehicles : a technology-rich economic modeling and policy analysis

    E-Print Network [OSTI]

    Karplus, Valerie J

    2011-01-01T23:59:59.000Z

    Climate and energy security concerns have prompted policy action in the United States and abroad to reduce petroleum use and greenhouse gas (GHG) emissions from passenger vehicles. Policy affects the decisions of firms and ...

  11. Estimating Emissions in Latin America: An Alternative to Traffic Models

    E-Print Network [OSTI]

    Richner, Heinz

    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

  12. Integrated motion planning and model learning for mobile robots with application to marine vehicles

    E-Print Network [OSTI]

    Greytak, Matthew B. (Matthew Bardeen)

    2009-01-01T23:59:59.000Z

    Robust motion planning algorithms for mobile robots consider stochasticity in the dynamic model of the vehicle and the environment. A practical robust planning approach balances the duration of the motion plan with the ...

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

    Broader source: Energy.gov [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...

  14. Vehicle Technologies Office Merit Review 2015: BatPaC Model Development

    Broader source: Energy.gov [DOE]

    Presentation given by Argonne National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about BatPaC model...

  15. Uncertainty in emissions projections for climate models

    E-Print Network [OSTI]

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

    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 ...

  16. Model Identification for Optimal Diesel Emissions Control

    SciTech Connect (OSTI)

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

    2013-06-20T23:59:59.000Z

    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.

  17. A comparative study of vibrational relaxation models for the aeroassisted orbital transfer vehicle flight regime

    E-Print Network [OSTI]

    Green, Derek Scott

    1991-01-01T23:59:59.000Z

    A COMPARATIVE STUDY OF VIBRATIONAL RELAXATION MODELS FOR AEROASSISTED ORBITAL TRANSFER VEHICLE FLIGHT REGIME A Thesis by DEREK SCOTI' GREEN Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE May 1991 Major Subject: Aerospace Engineering A COMPARATIVE STUDY OF VIBRATIONAL RELAXATION MODELS FOR AEROASSISTED ORBITAL TRANSFER VEHICLE FLIGHT REGIME A Thesis by DEREK SCOTT GREEN Approved...

  18. A comparative study of vibrational relaxation and chemical reaction models for the Martian entry vehicle

    E-Print Network [OSTI]

    Koteshwar, Rajeev

    1992-01-01T23:59:59.000Z

    A COMPARATIVE STUDY OF VIBRATIONAL RELAXATION AND CHEMICAL REACTION MODELS FOR THE MARTIAN ENTRY VEHICLE A Thesis by RAJEEV KOTESHWAR Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE May 1992 Major Subject: Aerospace Engineering A COMPARATIVE STUDY OF VIBRATIONAL RELAXATION AND CHEMICAL REACTION MODELS FOR THE MARTIAN ENTRY VEHICLE A Thesis by RAJEEV KOTESHWAR Approved as to style...

  19. Vehicle Technologies Office Merit Review 2014: Demonstration/Development of Reactivity Controlled Compression Ignition (RCCI) Combustion for High Efficiency, Low Emissions Vehicle Applications

    Broader source: Energy.gov [DOE]

    Presentation given by Wisconsin Engine Research Consultants at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about...

  20. Modeling and Simulation of Electric and Hybrid Vehicles

    E-Print Network [OSTI]

    Mi, Chunting "Chris"

    an important role in the diagnostics of the operating components. For example, running an embedded fuel cell, and fuel cell vehicles, such as electric machines, power electronics, electronic continuously variable converters, such as Li- ion batteries, ultracapacitors, and fuel cells, are introduced in the next generation

  1. Energy Management for an Electric Vehicle Based on Combinatorial Modeling

    E-Print Network [OSTI]

    Boyer, Edmond

    energy sources (fuel cells, photovoltaic panels, batteries, supercapacitors) with different of the energy system The energy chain of the vehicle concerned is composed of a Fuel Cell System (FCS) using Toulouse, France Abstract This paper describes the process of electrical energy management and optimization

  2. Emission estimates for air pollution transport models.

    SciTech Connect (OSTI)

    Streets, D. G.

    1998-10-09T23:59:59.000Z

    The results of studies of energy consumption and emission inventories in Asia are discussed. These data primarily reflect emissions from fuel combustion (both biofuels and fossil fuels) and were collected to determine emissions of acid-deposition precursors (SO{sub 2} and NO{sub x}) and greenhouse gases (CO{sub 2} CO, CH{sub 4}, and NMHC) appropriate to RAINS-Asia regions. Current work is focusing on black carbon (soot), volatile organic compounds, and ammonia.

  3. Heavy Duty Diesel Particulate Matter and Fuel Consumption Modeling for Transportation Analysis

    E-Print Network [OSTI]

    Scora, George Alexander

    2011-01-01T23:59:59.000Z

    Model for Heavy Duty Diesel Vehicles. TransportationAir Contaminant Emissions from Diesel- fueled Engines. Factfor Measuring Emissions from Diesel Engines. 1. Regulated

  4. Saving Fuel, Reducing Emissions

    E-Print Network [OSTI]

    Kammen, Daniel M.; Arons, Samuel M.; Lemoine, Derek M.; Hummel, Holmes

    2009-01-01T23:59:59.000Z

    lower greenhouse gas emissions from electricity productionAssessment of Greenhouse Gas Emissions from Plug-in Hybridof national greenhouse gas emissions. Both motor vehicle

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

    E-Print Network [OSTI]

    Hohl, Carrie

    2012-12-31T23:59:59.000Z

    and willingness to forgive my work responsibilities, ultimately, allowed me to complete my dissertation. Time is a sacred resource, and if you had not been so generous with yours and mine, I might still be working on Chapter 3. Thank you for giving me more....3.1 Statistical Results………………………………………… 360 9.3.2 EM vs. dICE Use Between Operating Modes……………. 364 9.4 Pollutant Emissions…………………………………………………... 377 9.5 Concluding Remarks…………………………………………………. 400 CHAPTER 10: Diesel Internal Combustion Engine Use in PHEV...

  6. The Smart Grid, A Scale Demonstration Model Incorporating Electrified Vehicles

    E-Print Network [OSTI]

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

    2011-04-01T23:59:59.000Z

    energy infrastructure. Furthermore, with the advent and commercialization of electrified vehicles, energy demand has the capability to increase dramatically. A sustainable solution via renewable energy technologies can act to offset... to ensure the energy security of the United States. Supported by the EPA P3 initiative, the current small-scale stage of the EcoHawks design project involves creation of a smart energy infrastructure that integrates solar and wind renewable energy...

  7. Energy 101: Electric Vehicles

    Office of Energy Efficiency and Renewable Energy (EERE)

    This edition of Energy 101 highlights the benefits of electric vehicles, including improved fuel efficiency, reduced emissions, and lower maintenance costs.

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

    E-Print Network [OSTI]

    Michalek, Jeremy J.

    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) reduces the all-electric range of plug-in vehicles by up to 45% compared to milder test cycles (like HWFET

  9. Clean Cities 2012 Vehicle Buyer's Guide (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2012-03-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    2007-12-01T23:59:59.000Z

    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.

  11. An empirical analysis on the adoption of alternative fuel vehicles:The case of natural gas vehicles

    E-Print Network [OSTI]

    Yeh, Sonia

    2007-01-01T23:59:59.000Z

    579–594. IANGV, 1997. Natural Gas Vehicle Industry Positionmarket penetration of natural gas vehicles in Switzerland.Exhaust emissions from natural gas vehicles: issues related

  12. Vehicle Technologies Office: Modeling and Simulation | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartment of Energy MicrosoftVOLUME I AThe Vehicle Technologies Office

  13. Vehicle Technologies Office: Modeling, Testing, Data and Results |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartment of Energy MicrosoftVOLUME I AThe Vehicle Technologies

  14. Vehicle Technologies Office Merit Review 2014: Electrochemical Modeling of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02 TUEValidation of&SystemsCharging Demo |LMR-NMC

  15. Vehicle Technologies Office Merit Review 2014: Model Development and

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02 TUEValidation of&SystemsChargingEnergy

  16. Multivariable decoupled longitudinal and lateral vehicle control: A model-free design

    E-Print Network [OSTI]

    Multivariable decoupled longitudinal and lateral vehicle control: A model-free design Lghani model-free control is ap- plied to a multivariable decoupled longitudinal and lateral ve- hicle control and steering angle). It yields driving maneuvers requiring a control coordination of steering angle, braking

  17. ROLE OF VEHICLE DYNAMIC MODELING FIDELITY WITH HAPTIC COLLABORATION IN STEER BY WIRE

    E-Print Network [OSTI]

    Krovi, Venkat

    ROLE OF VEHICLE DYNAMIC MODELING FIDELITY WITH HAPTIC COLLABORATION IN STEER BY WIRE SYSTEMS control back to the driver. Candidate solutions for mimicking the steering feel have ranged from direct torque prediction schemes based on mathematical dynamics models (of tire-road, suspension, power-steering

  18. MODELING OF SKID-STEERED WHEELED ROBOTIC VEHICLES ON SLOPED TERRAINS

    E-Print Network [OSTI]

    Collins, Emmanuel

    MODELING OF SKID-STEERED WHEELED ROBOTIC VEHICLES ON SLOPED TERRAINS Camilo Ordonez Center radii. This work presents the analysis and experimental verification of a dynamic model for skid-steered for Intelligent Systems, Controls and Robotics (CISCOR) Department of Mechanical Engineering Florida A

  19. Heavy Duty Vehicle Futures Analysis.

    SciTech Connect (OSTI)

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

    2014-05-01T23:59:59.000Z

    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.

  20. Wildland fire emissions, carbon, and climate: Modeling fuel consumption

    E-Print Network [OSTI]

    rate and pattern. Fuel consumption is the basic process that leads to heat absorbing emissions called evaluated with an independent, quality assured, fuel consumption data set. Furthermore, anecdotal evidenceWildland fire emissions, carbon, and climate: Modeling fuel consumption Roger D. Ottmar U

  1. 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...

  2. A High Temperature Direct Vehicle Exhaust Flowmeter for Heavy...

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

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

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

    SciTech Connect (OSTI)

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

    2014-01-01T23:59:59.000Z

    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.

  4. Lifecycle-analysis for heavy vehicles.

    SciTech Connect (OSTI)

    Gaines, L.

    1998-04-16T23:59:59.000Z

    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.

  5. Energy 101: Electric Vehicles

    ScienceCinema (OSTI)

    None

    2013-05-29T23:59:59.000Z

    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/

  6. Advanced LD Engine Systems and Emissions Control Modeling and...

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

    Light-Duty Engine Systems and Emissions Control Modeling and Analysis Zhiming Gao (PI) C. Stuart Daw (Co-PI, Presenter) Oak Ridge National Laboratory This presentation does not...

  7. Vehicle Technologies Office Merit Review 2014: Demonstration...

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

    for High Efficiency, Low Emissions Vehicle Applications Presentation given by Wisconsin Engine Research Consultants at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle...

  8. Experiments and Modeling of Two-Stage Combustion in Low-Emissions...

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

    DEER, August 4, 2008 Experiments and Modeling of Two Experiments and Modeling of Two - - Stage Combustion in Stage Combustion in Low Low - - Emissions Diesel Engines Emissions...

  9. Modeling electron emission and surface effects from diamond cathodes

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Dimitrov, D. A. [Tech-X Corp., Boulder, CO (United States); Ben-Zvi, I. [Brookhaven National Lab. (BNL), Upton, NY (United States); Smithe, D. [Tech-X Corp., Boulder, CO (United States); Cary, J. R. [Tech-X Corp., Boulder, CO (United States); Rao, T. [Brookhaven National Lab. (BNL), Upton, NY (United States); Smedley, J. [Brookhaven National Lab. (BNL), Upton, NY (United States); Wang, E. [Brookhaven National Lab. (BNL), Upton, NY (United States)

    2015-02-07T23:59:59.000Z

    We developed modeling capabilities, within the Vorpal particle-in-cell code, for three-dimensional (3D) simulations of surface effects and electron emission from semiconductor photocathodes. They include calculation of emission probabilities using general, piece-wise continuous, space-time dependent surface potentials, effective mass and band bending field effects. We applied these models, in combination with previously implemented capabilities for modeling charge generation and transport in diamond, to investigate the emission dependence on applied electric field in the range from approximately 2 MV/m to 17 MV/m along the [100] direction. The simulation results were compared to experimental data. For the considered parameter regime, conservation of transverse electron momentum (in the plane of the emission surface) allows direct emission from only two (parallel to [100]) of the six equivalent lowest conduction band valleys. When the electron affinity ? is the only parameter varied in the simulations, the value ? = 0.31 eV leads to overall qualitative agreement with the probability of emission deduced from experiments. Including band bending in the simulations improves the agreement with the experimental data, particularly at low applied fields, but not significantly. Using surface potentials with different profiles further allows us to investigate the emission as a function of potential barrier height, width, and vacuum level position. However, adding surface patches with different levels of hydrogenation, modeled with position-dependent electron affinity, leads to the closest agreement with the experimental data.

  10. Modeling electron emission and surface effects from diamond cathodes

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Dimitrov, D. A.; Ben-Zvi, I.; Smithe, D.; Cary, J. R.; Rao, T.; Smedley, J.; Wang, E.

    2015-02-07T23:59:59.000Z

    We developed modeling capabilities, within the Vorpal particle-in-cell code, for three-dimensional (3D) simulations of surface effects and electron emission from semiconductor photocathodes. They include calculation of emission probabilities using general, piece-wise continuous, space-time dependent surface potentials, effective mass and band bending field effects. We applied these models, in combination with previously implemented capabilities for modeling charge generation and transport in diamond, to investigate the emission dependence on applied electric field in the range from approximately 2 MV/m to 17 MV/m along the [100] direction. The simulation results were compared to experimental data. For the considered parameter regime, conservation of transversemore »electron momentum (in the plane of the emission surface) allows direct emission from only two (parallel to [100]) of the six equivalent lowest conduction band valleys. When the electron affinity ? is the only parameter varied in the simulations, the value ? = 0.31 eV leads to overall qualitative agreement with the probability of emission deduced from experiments. Including band bending in the simulations improves the agreement with the experimental data, particularly at low applied fields, but not significantly. Using surface potentials with different profiles further allows us to investigate the emission as a function of potential barrier height, width, and vacuum level position. However, adding surface patches with different levels of hydrogenation, modeled with position-dependent electron affinity, leads to the closest agreement with the experimental data.« less

  11. Vehicle Technologies Office Merit Review 2015: Development and Update of Long-Term Energy and GHG Emission Macroeconomic Accounting Tool

    Broader source: Energy.gov [DOE]

    Presentation given by Argonne National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about development and...

  12. Size-Resolved Particle Number and Volume Emission Factors for On-Road Gasoline and Diesel Motor Vehicles

    E-Print Network [OSTI]

    Ban-Weiss, George A.

    2009-01-01T23:59:59.000Z

    losses when sampling diesel aerosol: A quality assurancefrom on-road gasoline and diesel vehicles. AtmosphericSource apportionment of diesel and spark ignition exhaust

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

    Broader source: Energy.gov [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...

  14. Confronting GRB prompt emission with a model for subphotospheric dissipation

    E-Print Network [OSTI]

    Ahlgren, Björn; Nymark, Tanja; Ryde, Felix; Pe'er, Asaf

    2015-01-01T23:59:59.000Z

    The origin of the prompt emission in gamma-ray bursts (GRBs) is still an unsolved problem and several different mechanisms have been suggested. Here we fit Fermi GRB data with a photospheric emission model which includes dissipation of the jet kinetic energy below the photosphere. The resulting spectra are dominated by Comptonization and contain no significant contribution from synchrotron radiation. In order to fit to the data we span a physically motivated part of the model's parameter space and create DREAM ($\\textit{Dissipation with Radiative Emission as A table Model}$), a table model for ${\\scriptsize XSPEC}$. We show that this model can describe different kinds of GRB spectra, including GRB 090618, representing a typical Band function spectrum, and GRB 100724B, illustrating a double peaked spectrum, previously fitted with a Band+blackbody model, suggesting they originate from a similar scenario. We suggest that the main difference between these two types of bursts is the optical depth at the dissipatio...

  15. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 54, NO. 3, MAY 2005 837 Modeling of a Hybrid Electric Vehicle Powertrain

    E-Print Network [OSTI]

    Mi, Chunting "Chris"

    -down system. Index Terms--Bond Graphs, hybrid electric vehicle (HEV), mechatronics, modeling, powertrain testIEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 54, NO. 3, MAY 2005 837 Modeling of a Hybrid Electric Vehicle Powertrain Test Cell Using Bond Graphs Mariano Filippa, Student Member, IEEE, Chunting Mi

  16. Size-Resolved Particle Number and Volume Emission Factors for On-Road Gasoline and Diesel Motor Vehicles

    E-Print Network [OSTI]

    Ban-Weiss, George A.

    2009-01-01T23:59:59.000Z

    2). To calculate diesel truck emission factors, pollutantthis size range. Diesel truck emissions have a peak at D p ~Note that the diesel truck emission factor for 1997 shown in

  17. Energy Star Concepts for Highway Vehicles

    SciTech Connect (OSTI)

    Greene, D.L.

    2003-06-24T23:59:59.000Z

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

  18. Planning and Control of Electric Vehicles Using Dynamic Energy Capacity Models

    E-Print Network [OSTI]

    Zhang, Wei

    for a large population of Plug-in Electric Vehicles (PEVs) for demand response applications. We consider both. Therefore, the accuracy of the aggregate model is integral to our efficient use of charging demand of the aggregated loads available at each time step is a function of the past energy management decisions

  19. Modeling a Prototype Optical Collision Avoidance Sensor For Unmanned Aerial Vehicles

    E-Print Network [OSTI]

    Hornsey, Richard

    Modeling a Prototype Optical Collision Avoidance Sensor For Unmanned Aerial Vehicles Cyrus Minwalla) are essential in controlled airspace under visual flight rules (VFR). A prototype optical sensor accomplishes and evaluation of the prototype sensor are presented here, as are preliminary measurements to clarify the roles

  20. Full vehicle dynamics model of a formula SAE racecar using ADAMS/Car

    E-Print Network [OSTI]

    Mueller, Russell Lee

    2005-11-01T23:59:59.000Z

    friction coefficient of 1.0. The ADAMS/Car model can now support the design process as an analysis tool for full vehicle dynamics and with continued refinement, will be able to accurately predict behavior throughout a complete autocross course....

  1. Modeling air emissions from contaminated sediment dredged materials

    SciTech Connect (OSTI)

    Valsaraj, K.T.; Thibodeaux, L.J. [Louisiana State Univ., Baton Rouge, LA (United States). Dept. of Chemical Engineering; Reible, D.D. [Louisiana State Univ., Baton Rouge, LA (United States); [Univ. of Sydney, New South Wales (Australia)

    1995-12-31T23:59:59.000Z

    Volatilization rates for hydrophobic organic compounds from a confined disposal facility (CDF) containing contaminated dredged material are presently unknown. The primary purpose of this study is to indicate the availability of theoretical models for the evaluation of volatile emission from a CDF. Four emission locales are identified and modeled: the sediment relocation (dredging) locale, the exposed sediment locale, the ponded sediment locale, and the vegetation-covered sediment locale. Rate expressions are derived to estimate the volatile organic chemical (VOC) emission from each locale. Emission rates (in mass of total VOCs per unit time) are primarily dependent on the chemical concentration at the source, the surface area of the source, and the degree to which the dredged material is in direct contact with air. The relative magnitude of these three parameters provides a basis upon which a tentative ranking of emission rates from the different locales can be given. Exposed sediment results in the greatest estimated emissions of volatiles followed by water with high levels of suspended sediments, such as might occur during dredging or during placement in a CDF. Expected to be lower in volatile emissions are dredged materials covered by a quiescent water column or vegetation.

  2. Equivalent circuit modeling of hybrid electric vehicle drive train

    E-Print Network [OSTI]

    Routex, Jean-Yves

    2001-01-01T23:59:59.000Z

    . . . . Figure 3. 4. 6: The motor shaft at no load. Figure 3. 4. 7: Bond graph for the motor shaft. . . Figure 3. 4. 8: Equivalent circuit of the motor shaft. Figure 3. 5. 1: Concrete example: the elevator Figure 3. 5. 2: Electro-mechanical model... model of the elevator. Figure 3. 5. 8: Final equivalent circuit of the elevator. Figure 4. 1. 1: Mechanical model of a shaft. Figure 4. 1. 2: Equivalent circuit of the shaft. Figure 4. 1. 3: Mechanical model of a gearbox. Figure 4. 1. 4: Equivalent...

  3. Vehicle Emissions Review - 2012

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

    - 2-3% * Improved SCR, other - 1-3% Other * GPS integration into engine calibration * Turbo-compounding * Downsizing and downspeeding 20 Environmental Technologies Progress is...

  4. Energy Storage Fuel Cell Vehicle Analysis: Preprint

    SciTech Connect (OSTI)

    Markel, T.; Pesaran, A.; Zolot, M.; Sprik, S.; Tataria, H.; Duong, T.

    2005-04-01T23:59:59.000Z

    In recent years, hydrogen fuel cell (FC) vehicle technology has received considerable attention as a strategy to decrease oil consumption and reduce harmful emissions. However, the cost, transient response, and cold performance of FC systems may present significant challenges to widespread adoption of the technology for transportation in the next 15 years. The objectives of this effort were to perform energy storage modeling with fuel cell vehicle simulations to quantify the benefits of hybridization and to identify a process for setting the requirements of ES for hydrogen-powered FC vehicles for U.S. Department of Energy's Energy Storage Program.

  5. Energy Storage Fuel Cell Vehicle Analysis

    SciTech Connect (OSTI)

    Pesaran, A.; Markel, T.; Zolot, M.; Sprik, S.; Tataria, H.; Duong, T.

    2005-08-01T23:59:59.000Z

    In recent years, hydrogen fuel cell (FC) vehicle technology has received considerable attention as a strategy to decrease oil consumption and reduce harmful emissions. However, the cost, transient response, and cold performance of FC systems may present significant challenges to widespread adoption of the technology for transportation in the next 15 years. The objectives of this effort were to perform energy storage modeling with fuel cell vehicle simulations to quantify the benefits of hybridization and to identify a process for setting the requirements of ES for hydrogen-powered FC vehicles for U.S. Department of Energy?s Energy Storage Program.

  6. 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 [Office of Scientific and Technical Information (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.

  7. 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]

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

    2010-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Burke, Andy

    2004-01-01T23:59:59.000Z

    of Conventional vs. Hybrid Vehicles, paper to be presented15 Table 10 Hybrid Vehicle Sales to Date - North America &Power Projections of Hybrid Vehicle Characteristics (1999-

  9. Impact of transport model errors on the global and regional methane emissions estimated by inverse modelling

    E-Print Network [OSTI]

    Locatelli, R.

    A modelling experiment has been conceived to assess the impact of transport model errors on methane emissions estimated in an atmospheric inversion system. Synthetic methane observations, obtained from 10 different model ...

  10. ESTIMATION OF ETHANOL CONTENT IN FLEX-FUEL VEHICLES USING AN EXHAUST GAS OXYGEN SENSOR: MODEL, TUNING AND SENSITIVITY

    E-Print Network [OSTI]

    Stefanopoulou, Anna

    ESTIMATION OF ETHANOL CONTENT IN FLEX-FUEL VEHICLES USING AN EXHAUST GAS OXYGEN SENSOR: MODEL periods of intense interest in using ethanol as an alternative fuel to petroleum-based gasoline and diesel derivatives. Currently available flexible fuel vehicles (FFVs) can operate on a blend of gasoline and ethanol

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

    Broader source: Energy.gov [DOE]

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

  12. Vehicle Technologies Office Merit Review 2015: Low Temperature Emission Control to Enable Fuel-Efficient Engine Commercialization

    Broader source: Energy.gov [DOE]

    Presentation given by Oak Ridge National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about low temperature...

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

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

    E-Print Network [OSTI]

    Carmona, Rene

    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

  15. Emissions

    Office of Scientific and Technical Information (OSTI)

    per Btu of fuel input. Thus, improving fuel efficiency is a more effective greenhouse gas control strategy for power plants than for motor vehicles. 6.1.4 Woody Biomass The...

  16. Hybrid and Plug-In Electric Vehicles (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2014-05-01T23:59:59.000Z

    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.

  17. Model Year 2006: Alternative Fuel and Advanced Technology Vehicles

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'. William Hirst Hirst Enterprises,MODEL

  18. Battery Ownership Model: A Tool for Evaluating the Economics of Electrified Vehicles and Related Infrastructure (Presentation)

    SciTech Connect (OSTI)

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

    2010-11-01T23:59:59.000Z

    This presentation uses a vehicle simulator and economics model called the Battery Ownership Model to examine the levelized cost per mile of conventional (CV) and hybrid electric vehicles (HEVs) in comparison with the cost to operate an electric vehicle (EV) under a service provider business model. The service provider is assumed to provide EV infrastructure such as charge points and swap stations to allow an EV with a 100-mile range to operate with driving profiles equivalent to CVs and HEVs. Battery cost, fuel price forecast, battery life, and other variables are examined to determine under what scenarios the levelized cost of an EV with a service provider can approach that of a CV. Scenarios in both the United States as an average and Hawaii are examined. The levelized cost of operating an EV with a service provider under average U.S. conditions is approximately twice the cost of operating a small CV. If battery cost and life can be improved, in this study the cost of an EV drops to under 1.5 times the cost of a CV for U.S. average conditions. In Hawaii, the same EV is only slightly more expensive to operate than a CV.

  19. ISO observations of spirals: modelling the FIR emission

    E-Print Network [OSTI]

    Simone Bianchi; Paul B. Alton; Jonathan I. Davies

    1999-10-01T23:59:59.000Z

    ISO observations at 200 micron have modified our view of the dust component in spiral galaxies. For a sample of seven resolved spirals we have retrieved a mean temperature of 20K, about 10K lower than previous estimates based on IRAS data at shorter wavelengths. Because of the steep dependence of far-infrared emission on the dust temperature, the dust masses inferred from ISO fluxes are a factor of 10 higher than those derived from IRAS data only, leading to gas-to-dust ratios close to the value observed in the Galaxy. The scale-length of the 200 micron emission is larger than for the IRAS 100 micron emission, with colder dust at larger distances from the galactic centre, as expected if the interstellar radiation field is the main source of dust heating. The 200 micron scale-length is also larger than the optical, for all the galaxies in the sample. This suggests that the dust distribution is more extended than that of the stars.A model of the dust heating is needed to derive the parameters of the dust distribution from the FIR emission. Therefore, we have adapted an existing radiative transfer code to deal with dust emission. Simulated maps of the temperature distribution within the dust disk and of the dust emission at any wavelength can be produced. The stellar spectral energy distribution is derived from observations in the ultraviolet, optical and near infrared. The parameters of the dust distribution (scale-lengths and optical depth) are chosen to reproduce the observed characteristics of the FIR emission, i.e. the shape of the spectrum, the flux and the spatial distribution. We describe the application of the model to one of the galaxies in the sample, NGC 6946.

  20. VEHICLE USE RECORD M/Y DEPARTMENT VEHICLE LOCATION

    E-Print Network [OSTI]

    Watson, Craig A.

    VEHICLE USE RECORD M/Y DEPARTMENT VEHICLE LOCATION Date Origin/Destination Purpose Time Out Time) Accuracy of Information (b) Valid Driver's License VEHICLE # TAG # VEHICLE MAKE, MODEL, AND YEAR NOTE: Vehicle logs must be maintained for audit purposes. It is important that all of the required information

  1. Although still a small share of the automobile marketplace, hybrid vehicle models and sales have been growing steadily. It is now

    E-Print Network [OSTI]

    Bertini, Robert L.

    analyzes the impacts of utilization (mileage per year per vehicle) and gasoline prices on vehicle gasoline prices or high utilization, (b) current European carbon dioxide cap-and-trade emissions price (miles per year), and market conditions (fuel prices) on the competitiveness of EVs. This paper

  2. Analysis and calibration of social factors in a consumer acceptance and adoption model for diffusion of diesel vehicle in Europe

    E-Print Network [OSTI]

    Zhang, Qi, S.M. Massachusetts Institute of Technology

    2008-01-01T23:59:59.000Z

    While large scale diffusion of alternative fuel vehicles (AFVs) is widely anticipated, the mechanisms that determine their success or failure are ill understood. Analysis of an AFV transition model developed at MIT has ...

  3. Modeling the Infrared Emission from the Epsilon Eridani Disk

    E-Print Network [OSTI]

    Li, A; Bendo, G J; Li, Aigen

    2003-01-01T23:59:59.000Z

    We model the infrared (IR) emission from the ring-like dust disk around the main-sequence (MS) star Epsilon Eridani, a young analog to our solar system, in terms of a porous dust model previously developed for the extended wedge-shaped disk around the MS star $\\beta$ Pictoris and the sharply truncated ring-like disks around the Herbig Ae/Be stars HR 4796A and HD 141569A. It is shown that the porous dust model with a porosity of $\\simali$90% is also successful in reproducing the IR to submillimeter dust emission spectral energy distribution as well as the 850$\\mum$ flux radial profile of the dust ring around the more evolved MS star Epsilon Eridani. Predictions are made for future {\\it SIRTF} observations which may allow a direct test of the porous dust model.

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

    E-Print Network [OSTI]

    vehicles (EVs) Fuel options: Petroleum Gasoline Diesel E85 with ethanol from Corn Switchgrass Electricity: Marginal generation mixes in four regions Average generation mixes of the U.S., CA of operation On-road adjusted electric range (AER) In-house simulations of electricity generation mixes

  5. Anticipating plug-in hybrid vehicle energy impacts in California: Constructing consumer-informed recharge profiles

    E-Print Network [OSTI]

    Axsen, Jonn; Kurani, Kenneth S

    2010-01-01T23:59:59.000Z

    converted plug-in hybrid vehicles. Transportation ResearchM. , 2006. Plug-In Hybrid Vehicle Analysis. Nationalgas emissions from plug-in hybrid vehicles: implications for

  6. Methods for Developing Emissions Scenarios for Integrated Assessment Models

    SciTech Connect (OSTI)

    Prinn, Ronald [MIT; Webster, Mort [MIT

    2007-08-20T23:59:59.000Z

    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.

  7. A Grid-Based Mobile Sources Emissions Inventory Model

    E-Print Network [OSTI]

    Zheng, Yi; Niemeier, Debbie; Kear, Tom

    2001-01-01T23:59:59.000Z

    exhaust process and running loss LDA: Light-duty autos.loss, and evaporative running loss emissions. Hot soakmultiple day emissions. Running loss emissions occur due to

  8. Market penetration scenarios for fuel cell vehicles

    SciTech Connect (OSTI)

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

    1997-12-31T23:59:59.000Z

    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.

  9. Advanced HD Engine Systems and Emissions Control Modeling and Analysis

    Broader source: Energy.gov [DOE]

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

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

    E-Print Network [OSTI]

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

    2009-01-01T23:59:59.000Z

    and Fuel Cell Electric Vehicle Symposium GHG emissions rate Variable costand Fuel Cell Electric Vehicle Symposium GHG emissions rate (CO 2 -eq/kWh) Cost

  11. Macro-System Model: A Federated Object Model for Cross-Cutting Analysis of Hydrogen Production, Delivery, Consumption and Associated Emissions; Preprint

    SciTech Connect (OSTI)

    Ruth, M.; Diakov, V.; Goldsby, M. E.; Sa, T. J.

    2010-12-01T23:59:59.000Z

    It is commonly accepted that the introduction of hydrogen as an energy carrier for light-duty vehicles involves concomitant technological development of infrastructure elements, such as production, delivery, and consumption, all associated with certain emission levels. To analyze these at a system level, the suite of corresponding models developed by the United States Department of Energy and involving several national laboratories is combined in one macro-system model (MSM). The macro-system model is being developed as a cross-cutting analysis tool that combines a set of hydrogen technology analysis models. Within the MSM, a federated simulation framework is used for consistent data transfer between the component models. The framework is built to suit cross-model as well as cross-platform data exchange and involves features of 'over-the-net' computation.

  12. Dependence of Ridge Formation on Trigger Azimuth: Correlated Emission Model

    E-Print Network [OSTI]

    Charles B. Chiu; Rudolph C. Hwa

    2009-01-05T23:59:59.000Z

    Ridge formation in near-side correlation in heavy-ion collisions is studied in the framework of a phenomenological model, called Correlated Emission Model (CEM). Successive soft emissions due to jet-medium interaction lead to the enhancement of thermal partons which follow the local flow directions. The correlation between the flow direction and the semihard parton direction is the major factor that causes the ridge formation to depend on the trigger direction relative to the reaction plane. With the use of a few parameters we have been able to reproduce the data on the ridge yields as functions of the trigger azimuthal angle for different centralities. An inside-outside asymmetry function is proposed to further probe the characteristics of the azimuthal correlation function. Insights are provided for the understanding of some detailed aspects of the centrality dependence.

  13. Adaptive PI control of NOx? emissions in a Urea Selective Catalytic Reduction System using system identification models

    E-Print Network [OSTI]

    Ong, Chun Yang

    2009-01-01T23:59:59.000Z

    The Urea SCR System has shown great potential for implementation on diesel vehicles wanting to meet the upcoming emission regulations by the EPA. The objective of this thesis is to develop an adaptive controller that is ...

  14. A physics-based emissions model for aircraft gas turbine combustors

    E-Print Network [OSTI]

    Allaire, Douglas L

    2006-01-01T23:59:59.000Z

    In this thesis, a physics-based model of an aircraft gas turbine combustor is developed for predicting NO. and CO emissions. The objective of the model is to predict the emissions of current and potential future gas turbine ...

  15. Experiments and Modeling of Two-Stage Combustion in Low-Emissions...

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

    Experiments and Modeling of Two-Stage Combustion in Low-Emissions Diesel Engines Experiments and Modeling of Two-Stage Combustion in Low-Emissions Diesel Engines Two-stage...

  16. Comparison of Aermod and ISCST3 Models for Particulate Emissions from Ground Level Sources 

    E-Print Network [OSTI]

    Botlaguduru, Venkata Sai V.

    2010-07-14T23:59:59.000Z

    Emission factors (EFs) and results from dispersion models are key components in the air pollution regulatory process. The EPA preferred regulatory model changed from ISCST3 to AERMOD in November, 2007. Emission factors are used in conjunction...

  17. A Statistical Model to Assess Indirect CO2 Emissions of the UAE Residential Sector 

    E-Print Network [OSTI]

    Radhi, H.; Fikry, F.

    2010-01-01T23:59:59.000Z

    This study presents a regional bottom-up model for assessing space cooling energy and related greenhouse gas emissions. The model was developed with the aim of improving the quality and quantity of cooling energy and emission data, especially...

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

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    Inventory for Heavy-Duty Diesel Truck Emissions. J. Air &T. A. Cackette (2001), Diesel engines: Environmental impact2003), http://www.arb.ca.gov/diesel/diesel.htm BAAQMD, Bay

  19. Testing the clump model of SiO maser emission

    E-Print Network [OSTI]

    M. D. Gray; R. J. Ivison; E. M. L. Humphreys; J. A. Yates

    1997-12-08T23:59:59.000Z

    Building on the detection of J=7-6 SiO maser emission in both the v=1 and v=2 vibrational states towards the symbiotic Mira, R Aquarii, we have used the James Clerk Maxwell Telescope to study the changes in the SiO maser features from R Aqr over a stellar pulsational period. The observations, complemented by contemporaneous data taken at 86 GHz, represent a test of the popular thermal-instability clump models of SiO masers. The `clump' model of SiO maser emission considers the SiO masers to be discrete emitting regions which differ from their surroundings in the values of one or more physical variables (SiO abundance, for example). We find that our observational data are consistent with a clump model in which the appearance of maser emission in the J=7-6 transitions coincides with an outward-moving shock impinging on the inner edge of the maser zone.

  20. Transportation Sector Model of the National Energy Modeling System. Volume 2 -- Appendices: Part 1

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    This volume contains input data and parameters used in the model of the transportation sector of the National Energy Modeling System. The list of Transportation Sector Model variables includes parameters for the following: Light duty vehicle modules (fuel economy, regional sales, alternative fuel vehicles); Light duty vehicle stock modules; Light duty vehicle fleet module; Air travel module (demand model and fleet efficiency model); Freight transport module; Miscellaneous energy demand module; and Transportation emissions module. Also included in these appendices are: Light duty vehicle market classes; Maximum light duty vehicle market penetration parameters; Aircraft fleet efficiency model adjustment factors; and List of expected aircraft technology improvements.

  1. Identification of powered parafoil-vehicle dynamics from modelling and flight test data

    E-Print Network [OSTI]

    Hur, Gi-Bong

    2006-08-16T23:59:59.000Z

    S consisting of N particles P1,...,PN, suppose that n -m gen- eralized speeds have been introduced, and let vPir denote the rth partial velocity of Pi. Then, if Ri is the resultant of all contact and body forces acting on Pi, then the n -m quantities F1,...,Fn-m...IDENTIFICATION OF POWERED PARAFOIL-VEHICLE DYNAMICS FROM MODELLING AND FLIGHT TEST DATA A Dissertation by GI-BONG HUR Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree...

  2. Frey, H.C., H.W. Choi, E. Pritchard, and J. Lawrence, "In-Use Measurement of the Activity, Energy Use, and Emissions of a Plug-in Hybrid Electric Vehicle," Paper 2009-A-242-AWMA, Proceedings, 102nd Annual Conference and Exhibition, Air &

    E-Print Network [OSTI]

    Frey, H. Christopher

    . 1 In-Use Measurement of the Activity, Energy Use, and Emissions of a Plug-in Hybrid Electric VehicleFrey, H.C., H.W. Choi, E. Pritchard, and J. Lawrence, "In-Use Measurement of the Activity, Energy Use, and Emissions of a Plug-in Hybrid Electric Vehicle," Paper 2009-A-242-AWMA, Proceedings, 102nd

  3. Multilayer Thin-Film Thermoelectric Materials for Vehicle Applications...

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

    Multilayer Thin-Film Thermoelectric Materials for Vehicle Applications Multilayer Thin-Film Thermoelectric Materials for Vehicle Applications 2004 Diesel Engine Emissions Reduction...

  4. System Simulations of Hybrid Electric Vehicles with Focus on...

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

    of Hybrid Electric Vehicles with Focus on Emissions Comparative simulations of hybrid electric vehicles with gasoline and diesel engines will be conducted with focus on...

  5. Effect of Premixed Charge Compression Ignition on Vehicle Fuel...

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

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

  6. Cost Effectiveness of Technology Solutions for Future Vehicle...

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

    Cost Effectiveness of Technology Solutions for Future Vehicle Systems Cost Effectiveness of Technology Solutions for Future Vehicle Systems Explores the economics of CO2 emission...

  7. Appending High-Resolution Elevation Data to GPS Speed Traces for Vehicle Energy Modeling and Simulation

    SciTech Connect (OSTI)

    Wood, E.; Burton, E.; Duran, A.; Gonder, J.

    2014-06-01T23:59:59.000Z

    Accurate and reliable global positioning system (GPS)-based vehicle use data are highly valuable for many transportation, analysis, and automotive considerations. Model-based design, real-world fuel economy analysis, and the growing field of autonomous and connected technologies (including predictive powertrain control and self-driving cars) all have a vested interest in high-fidelity estimation of powertrain loads and vehicle usage profiles. Unfortunately, road grade can be a difficult property to extract from GPS data with consistency. In this report, we present a methodology for appending high-resolution elevation data to GPS speed traces via a static digital elevation model. Anomalous data points in the digital elevation model are addressed during a filtration/smoothing routine, resulting in an elevation profile that can be used to calculate road grade. This process is evaluated against a large, commercially available height/slope dataset from the Navteq/Nokia/HERE Advanced Driver Assistance Systems product. Results will show good agreement with the Advanced Driver Assistance Systems data in the ability to estimate road grade between any two consecutive points in the contiguous United States.

  8. Impact of realistic hourly emissions profiles on air pollutants concentrations modelled with CHIMERE

    E-Print Network [OSTI]

    Menut, Laurent

    Impact of realistic hourly emissions profiles on air pollutants concentrations modelled Keywords: Atmospheric composition European air quality Anthropogenic emissions a b s t r a c t Regional inputs data like anthropogenic surface emissions of NOx, VOCs and particulate matter. These emissions

  9. Estimation of landfill emission lifespan using process oriented modeling

    SciTech Connect (OSTI)

    Ustohalova, Veronika [Institute of Waste Management, University of Duisburg-Essen, Universitaetsstrasse 15, 45141 Essen (Germany)]. E-mail: veronika.ustohalova@uni-essen.de; Ricken, Tim [Institute of Mechanics, University of Duisburg-Essen, Universitaetsstrasse 15, 45141 Essen (Germany); Widmann, Renatus [Institute of Waste Management, University of Duisburg-Essen, Universitaetsstrasse 15, 45141 Essen (Germany)

    2006-07-01T23:59:59.000Z

    Depending on the particular pollutants emitted, landfills may require service activities lasting from hundreds to thousands of years. Flexible tools allowing long-term predictions of emissions are of key importance to determine the nature and expected duration of maintenance and post-closure activities. A highly capable option represents predictions based on models and verified by experiments that are fast, flexible and allow for the comparison of various possible operation scenarios in order to find the most appropriate one. The intention of the presented work was to develop a experimentally verified multi-dimensional predictive model capable of quantifying and estimating processes taking place in landfill sites where coupled process description allows precise time and space resolution. This constitutive 2-dimensional model is based on the macromechanical theory of porous media (TPM) for a saturated thermo-elastic porous body. The model was used to simulate simultaneously occurring processes: organic phase transition, gas emissions, heat transport, and settlement behavior on a long time scale for municipal solid waste deposited in a landfill. The relationships between the properties (composition, pore structure) of a landfill and the conversion and multi-phase transport phenomena inside it were experimentally determined. In this paper, we present both the theoretical background of the model and the results of the simulations at one single point as well as in a vertical landfill cross section.

  10. Fact #854 January 5, 2015 Driving Ranges for All-Electric Vehicles in Model Year 2014 Vary from 62 to 265 Miles – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Driving Ranges for All-Electric Vehicles in Model Year 2014 Vary from 62 to 265 Miles

  11. AVCEM: Advanced Vehicle Cost and Energy Use Model. Overview of AVCEM

    E-Print Network [OSTI]

    Delucchi, Mark

    2005-01-01T23:59:59.000Z

    accounted separately), regenerative braking, battery thermalthere is no regenerative braking, and vehicle efficiency,iterative calculations. Regenerative braking is represented

  12. AVCEM: Advanced Vehicle Cost and Energy Use Model. Overview of AVCEM

    E-Print Network [OSTI]

    Delucchi, Mark

    2005-01-01T23:59:59.000Z

    vehicles (BPEVs); • hydrogen fuel-cell-powered EVs (with or w/out peak-power device) (FCEVs); • methanol

  13. Applications of Probabilistic Graphical Models to Diagnosis and Control of Autonomous Vehicles

    E-Print Network [OSTI]

    the performancesof unmanned underwater vehicles were identified in terms of safety for the system itself as well problems of di- agnosis and control of ground and underwater robotic vehicles. In particular, we describe how battery monitoring and control problems related to an underwater and a ground vehicle are solved

  14. Incorporating Drivability Metrics into Optimal Energy Management Strategies for Hybrid Vehicles Part 1: Model, Methods, and

    E-Print Network [OSTI]

    Grizzle, Jessy W.

    Incorporating Drivability Metrics into Optimal Energy Management Strategies for Hybrid Vehicles-parallel configuration considered here. Hybrid vehicles are characterized by multiple energy sources; the strategy Gillespie, Jeffrey A. Cook, and J.W. Grizzle Abstract--Hybrid Vehicle fuel economy performance is highly

  15. Integrated Vehicle Thermal Management Systems (VTMS) Analysis...

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

    Systems (VTMS) AnalysisModeling Integrated Vehicle Thermal Management Systems (VTMS) AnalysisModeling 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit...

  16. Comparison of model estimates of the effects of aviation emissions on atmospheric ozone and methane

    E-Print Network [OSTI]

    Jacobson, Mark

    Comparison of model estimates of the effects of aviation emissions on atmospheric ozone and methane is the effects of aviation emissions on ozone and atmospheric chemistry. In this study the effects of aviation emissions on atmospheric ozone for 2006 and two projections for 2050 are compared among seven models

  17. MODELING THE EMISSIONS OF NITROUS OXIDE (N20) AND METHANE (CH 4) FROM THE

    E-Print Network [OSTI]

    MODELING THE EMISSIONS OF NITROUS OXIDE (N20) AND METHANE (CH 4) FROM THE TERRESTRIAL BIOSPHERE;2 #12;MODELING THE EMISSIONS OF NITROUS OXIDE (N 20) AND METHANE (CH 4) FROM THE TERRESTRIAL BIOSPHERE cli- mate has on natural emissions of N2 0 and CH4 from the terrestrial biosphere to the atmosphere

  18. Plugging Vehicles into Clean Energy October, 2012

    E-Print Network [OSTI]

    California at Davis, University of

    Plugging Vehicles into Clean Energy 1 October, 2012 Plugging Vehicles into Clean Energy Max-in electric vehicles and clean energy. Giving consumers options to offset energy and emissions associated briefly summarizes the relationship between clean energy and vehicle electrification and describes five

  19. Electric and Hydrogen Vehicles Past and Progress

    E-Print Network [OSTI]

    Kammen, Daniel M.

    status and TSRC research ­ Future? · Hydrogen Fuel Cell Vehicles ­ 20 years ago ­ 10 years ago ­ Current · Transportation Propulsion, Fuels, & Emissions ­ Electric-drive vehicles (including plug-in hybrid and fuel-cell Electric and Fuel Cell Vehicles?Why Electric and Fuel Cell Vehicles? · Transportation accounts for about 33

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

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

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

  1. ROBUST SCALABLE VEHICLE CONTROL VIA NON-DIMENSIONAL VEHICLE DYNAMICS

    E-Print Network [OSTI]

    Brennan, Sean

    - 1 - ROBUST SCALABLE VEHICLE CONTROL VIA NON-DIMENSIONAL VEHICLE DYNAMICS S. Brennan & A. Alleyne and spatial re-parameterization of the linear vehicle Bicycle Model is presented utilizing non-dimensional ratios of vehicle parameters called -groups. Investigation of the -groups using compiled data from 44

  2. ROBUST SCALABLE VEHICLE CONTROL VIA NON-DIMENSIONAL VEHICLE DYNAMICS

    E-Print Network [OSTI]

    Brennan, Sean

    ROBUST SCALABLE VEHICLE CONTROL VIA NON-DIMENSIONAL VEHICLE DYNAMICS S. Brennan & A. Alleyne Dept, IL 61801 ABSTRACT A temporal and spatial re-parameterization of the well- known linear vehicle Bicycle Model is presented. This parameterization utilizes non-dimensional ratios of vehicle parameters

  3. The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions

    E-Print Network [OSTI]

    Guenther, A. B.

    The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1) is a modeling framework for estimating fluxes of biogenic compounds between terrestrial ecosystems and the atmosphere using simple mechanistic ...

  4. A nanoflare model of quiet Sun EUV emission

    E-Print Network [OSTI]

    Anuschka Pauluhn; Sami K. Solanki

    2006-12-20T23:59:59.000Z

    Nanoflares have been proposed as the main source of heating of the solar corona. However, detecting them directly has so far proved elusive, and extrapolating to them from the properties of larger brightenings gives unreliable estimates of the power-law exponent $\\alpha$ characterising their distribution. Here we take the approach of statistically modelling light curves representative of the quiet Sun as seen in EUV radiation. The basic assumption is that all quiet-Sun EUV emission is due to micro- and nanoflares, whose radiative energies display a power-law distribution. Radiance values in the quiet Sun follow a lognormal distribution. This is irrespective of whether the distribution is made over a spatial scan or over a time series. We show that these distributions can be reproduced by our simple model.

  5. Will China's Vehicle Population Grow Even Faster than Forecasted?

    E-Print Network [OSTI]

    Wang, Yunshi; Teter, Jacob; Sperling, Daniel

    2012-01-01T23:59:59.000Z

    2011. “China’s Soaring Vehicle Population: Even Greater Thanversion, “China’s Soaring Vehicle Population: Even Greater2012. “Modeling Future Vehicle Sales and Stock in China,”

  6. Integrated Assessment Modeling of Carbon Sequestration and Land Use Emissions Using Detailed Model Results and Observations

    SciTech Connect (OSTI)

    Dr. Atul Jain

    2005-04-17T23:59:59.000Z

    This report outlines the progress on the development and application of Integrated Assessment Modeling of Carbon Sequestrations and Land Use Emissions supported by the DOE Office of Biological and Environmental Research (OBER), U.S. Department of Energy, Grant No. DOE-DE-FG02-01ER63069. The overall objective of this collaborative project between the University of Illinois at Urbana-Champaign (UIUC), Oak Ridge National Laboratory (ORNL), Lawrence Livermore National Laboratory (LLNL), and Pacific Northwest National Laboratory (PNNL) was to unite the latest advances in carbon cycle research with scientifically based models and policy-related integrated assessment tools that incorporate computationally efficient representations of the latest knowledge concerning science and emission trajectories, and their policy implications. As part of this research we accomplished the following tasks that we originally proposed: (1) In coordination with LLNL and ORNL, we enhanced the Integrated Science Assessment Model's (ISAM) parametric representation of the ocean and terrestrial carbon cycles that better represent spatial and seasonal variations, which are important to study the mechanisms that influence carbon sequestration in the ocean and terrestrial ecosystems; (2) Using the MiniCAM modeling capability, we revised the SRES (IPCC Special Report on Emission Scenarios; IPCC, 2000) land use emission scenarios; and (3) On the application front, the enhanced version of ISAM modeling capability is applied to understand how short- and long-term natural carbon fluxes, carbon sequestration, and human emissions contribute to the net global emissions (concentrations) trajectories required to reach various concentration (emission) targets. Under this grant, 21 research publications were produced. In addition, this grant supported a number of graduate and undergraduate students whose fundamental research was to learn a disciplinary field in climate change (e.g., ecological dynamics and ocean circulations) and then complete research on how this field could be linked to the other factors we need to consider in its dynamics (e.g., land use, ocean and terrestrial carbon sequestration and climate change).

  7. Vehicle Technologies Office | Department of Energy

    Office of Environmental Management (EM)

    Read more Buying a New Car? Buying a New Car? Compare gas mileage, emissions, air pollution ratings, and safety data for new and used vehicles. Read more The Vehicle...

  8. Clean Cities Offers Fleets New Tool to Evaluate Benefits of Alternative Fuel Vehicles

    Broader source: Energy.gov [DOE]

    The AFLEET Tool allows fleets to calculate payback periods and emissions benefits of alternative fuel vehicles.

  9. Economic and Environmental Optimization of Vehicle Fleets: A Case Study of the Impacts of Policy, Market, Utilization, and

    E-Print Network [OSTI]

    Bertini, Robert L.

    of utilization (mileage per year per vehicle) and gasoline prices on fleet management decisions estimating energy in scenarios with high gasoline prices and/or utilization, (b) current European CO2 cap and trade emissions with high gasoline prices and vehicle utilization. This research indicates that the proposed model can

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

    E-Print Network [OSTI]

    Burke, Andy

    2004-01-01T23:59:59.000Z

    Technologies to Reduce CO2 Emissions of New Light- Dutyreduce their CO2 emissions. The emerging technologiessignificantly reduce their CO2 emissions. These technologies

  11. Plug-in electric vehicle introduction in the EU

    E-Print Network [OSTI]

    Sisternes, Fernando J. de $q (Fernando José Sisternes Jiménez)

    2010-01-01T23:59:59.000Z

    Plug-in electric vehicles (PEVs) could significantly reduce gasoline consumption and greenhouse gas (GHG) emissions in the EU's transport sector. However, PEV well-towheel (WTW) emissions depend on improvements in vehicle ...

  12. Model-Free Learning-Based Online Management of Hybrid Electrical Energy Storage Systems in Electric Vehicles

    E-Print Network [OSTI]

    Pedram, Massoud

    Model-Free Learning-Based Online Management of Hybrid Electrical Energy Storage Systems in Electric@elpl.snu.ac.kr Abstract--To improve the cycle efficiency and peak output power density of energy storage systems in electric vehicles (EVs), supercapacitors have been proposed as auxiliary energy storage elements

  13. A Bottom-Up Approach to Verification of Hybrid Model-Based Hierarchical Controllers with application to Underwater Vehicles

    E-Print Network [OSTI]

    Kumar, Ratnesh

    A Bottom-Up Approach to Verification of Hybrid Model-Based Hierarchical Controllers with application to Underwater Vehicles M. O'Connor, S. Tangirala, R. Kumar, S. Bhattacharyya, M. Sznaier and L.E. Holloway Abstract -- We present a systematic method of verification for a hierarchical hybrid system

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

    E-Print Network [OSTI]

    Zhao, Hengbing; Burke, Andy

    2008-01-01T23:59:59.000Z

    operating conditions. Direct Hydrogen Fuel Cell System Modelconditions for a direct hydrogen fuel cell system Table 1simulation tool for hydrogen fuel cell vehicles, Journal of

  15. Vehicle Technologies Office Merit Review 2014: Chemical Kinetic Models for Advanced Engine Combustion

    Broader source: Energy.gov [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...

  16. Vehicle Technologies Office Merit Review 2014: Development of Thermoplastic Pultrusion with Modeling and Experiments

    Broader source: Energy.gov [DOE]

    Presentation given by University of Alabama at Birmingham at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about...

  17. Vehicle Technologies Office Merit Review 2015: Cell Analysis, Modeling, and Prototyping (CAMP) Facility Research Activities

    Broader source: Energy.gov [DOE]

    Presentation given by Argonne National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about Cell Analysis,...

  18. Vehicle Technologies Office Merit Review 2014: Cell Analysis, Modeling, and Prototyping (CAMP) Facility Research Activities

    Broader source: Energy.gov [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 cell analysis,...

  19. Incorporating stakeholders' perspectives into models of new technology diffusion: The case of fuel-cell vehicles

    E-Print Network [OSTI]

    Collantes, Gustavo O

    2007-01-01T23:59:59.000Z

    conventional internal combustion engine vehicles (ICEVs) (East may change, internal combustion engines may becometechnology: gasoline internal combustion engines. At time t

  20. Vehicle Technologies Office Merit Review 2015: Continuum Modeling as a Guide to Developing New Battery Materials

    Broader source: Energy.gov [DOE]

    Presentation given by Lawrence Berkley National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about...

  1. Electric and Gasoline Vehicle Lifecycle Cost and Energy-Use Model

    E-Print Network [OSTI]

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

    2000-01-01T23:59:59.000Z

    fuel-cell-powered electric vehicles (FCEVs); and methanolvehicle, of the battery, fuel cell, and hydrogen or methanolvehicle, of the battery, fuel cell, and hydrogen or methanol

  2. Vehicle Technologies Office Merit Review 2015: Unified Modeling, Simulation, and Market Implications: FASTSim and ADOPT

    Broader source: Energy.gov [DOE]

    Presentation given by National Renewable Energy Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about unified...

  3. Vehicle Technologies Office Merit Review 2015: Coupling Mechanical with Electrochemical-Thermal Models Batteries Under Abuse

    Broader source: Energy.gov [DOE]

    Presentation given by National Renewable Energy Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about coupling...

  4. Vehicle Technologies Office Merit Review 2015: Chemical Kinetic Models for Advanced Engine Combustion

    Broader source: Energy.gov [DOE]

    Presentation given by Lawrence Livermore National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about...

  5. Vehicle Technologies Office Merit Review 2015: CLEERS: Aftertreatment Modeling and Analysis

    Broader source: Energy.gov [DOE]

    Presentation given by Pacific Northwest National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about CLEERS,...

  6. Modeling and simulation results on high sensitivity scattered gamma-ray emission imaging

    E-Print Network [OSTI]

    Nguyen-Verger, Maï K.

    Modeling and simulation results on high sensitivity scattered gamma-ray emission imaging C. Driol a simulations Numerical image reconstruction a b s t r a c t A new modality in gamma-ray emission imaging, based modality in gamma-ray emission imaging with potential applications in many fields such as bio

  7. Intertemporal Emissions Trading and Market Power: A Dominant Firm with Competitive Fringe Model

    E-Print Network [OSTI]

    Boyer, Edmond

    1 Intertemporal Emissions Trading and Market Power: A Dominant Firm with Competitive Fringe Model Julien Chevallier1 May 26, 2009 Abstract In international emissions trading schemes such as the Kyoto Protocol and the European Union Emissions Trading Scheme, the suboptimal negotiation of the cap

  8. Inverse modeling of surface emissions for local pollution: A new methodology applied to academic test cases

    E-Print Network [OSTI]

    Menut, Laurent

    Inverse modeling of surface emissions for local pollution: A new methodology applied to academic; (2) LISA Creteil France Needs: Optimize surface emissions using daily recorded ozone and NOX by PRIMEQUAL2, program of the french ministry of environment Firstguess emissions inventory for the Paris

  9. An Active Oscillator Model Describes the Statistics of Spontaneous Otoacoustic Emissions

    E-Print Network [OSTI]

    Juelicher, Frank

    Article An Active Oscillator Model Describes the Statistics of Spontaneous Otoacoustic Emissions, sounds that are known as spontaneous otoacoustic emissions. They are a signature of the active amplification mechanism in the cochlea. Emissions occur at frequencies that are unique for an individual

  10. SO2 emissions and lifetimes: Estimates from inverse modeling using in situ and global, spacebased

    E-Print Network [OSTI]

    Martin, Randall

    SO2 emissions and lifetimes: Estimates from inverse modeling using in situ and global, spacebased 18 March 2011. [1] Topdown constraints on global sulfur dioxide (SO2) emissions are inferred through of GEOSChem for inversion of SO2 columns to emissions. The seasonal mean SO2 lifetime calculated with the GEOS

  11. Alternative Fuels Data Center: Ethanol Flexible Fuel Vehicle...

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

    on any vehicle type or engine configuration. How the specific fuel and emissions control systems work together determines compliance with EPA emissions standards for a...

  12. Alternative Fuel and Advanced Technology Vehicles Pilot Program...

    Open Energy Info (EERE)

    Program Emissions Benefit Tool Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Alternative Fuel and Advanced Technology Vehicles Pilot Program Emissions Benefit Tool...

  13. Vehicle Technologies Office Merit Review 2014: Cummins-ORNL/FEERC...

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

    Cummins-ORNLFEERC Emissions CRADA: NOx Control & Measurement Technology for Heavy-Duty Diesel Engines Vehicle Technologies Office Merit Review 2014: Cummins-ORNLFEERC Emissions...

  14. Dynamics of the Oil Transition: Modeling Capacity, Costs, and Emissions

    E-Print Network [OSTI]

    Brandt, Adam R.; Farrell, Alexander E.

    2008-01-01T23:59:59.000Z

    crude oil availabil- ity has the following results: less overall fuel consumption,crude-oil-equivalent fuels), the “emissions penalty” (in gigatonnes of carbon equivalent), and the total emissions from fuel production and consumption (

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

    SciTech Connect (OSTI)

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

    2012-07-01T23:59:59.000Z

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

  16. Assessing Vehicle Electricity Demand Impacts on California Electricity Supply

    E-Print Network [OSTI]

    McCarthy, Ryan W.

    2009-01-01T23:59:59.000Z

    global warming potentials of 23 and 296, respectively. Marginal electricity GHG emissions rates for vehicle recharging and hydrogen production

  17. A Forward Looking Version of the MIT Emissions Prediction and Policy Analysis (EPPA) Model

    E-Print Network [OSTI]

    Babiker, Mustafa M.H.

    This paper documents a forward looking multi-regional general equilibrium model developed from the latest version of the recursive-dynamic MIT Emissions Prediction and Policy Analysis (EPPA) model. The model represents ...

  18. The MIT Emissions Prediction and Policy Analysis (EPPA) model : revisions, sensitivities, and comparisons of results

    E-Print Network [OSTI]

    Babiker, Mustafa H.M.; Reilly, John M.; Mayer, Monika.; Eckaus, Richard S.; Sue Wing, Ian.; Hyman, Robert C.

    The Emissions Prediction and Policy Analysis (EPPA) model is a component of the MIT Integrated Earth Systems Model (IGSM). Here, we provide an overview of the model accessible to a broad audience and present the detailed ...

  19. The MIT Emissions Prediction and Policy Analysis (EPPA) Model: Version 4

    E-Print Network [OSTI]

    Paltsev, Sergey.

    The Emissions Prediction and Policy Analysis (EPPA) model is the part of the MIT Integrated Global Systems Model (IGSM) that represents the human systems. EPPA is a recursive-dynamic multi-regional general equilibrium model ...

  20. Long-term effects of anthropogenic CO2 emissions simulated with a complex earth system model

    E-Print Network [OSTI]

    Winguth, Arne

    Long-term effects of anthropogenic CO2 emissions simulated with a complex earth system model Uwe earth system model con- sisting of an atmospheric general circulation model, an ocean general

  1. APPLICATION OF A HYBRID MODEL TO EXPLORE ENERGY EMISSIONS ABATEMENT POLICIES IN CHINA

    E-Print Network [OSTI]

    APPLICATION OF A HYBRID MODEL TO EXPLORE ENERGY EMISSIONS ABATEMENT POLICIES IN CHINA by Jianjun Tu: Application of a Hybrid Model to Explore Energy Emissions Abatement Policies in China Project No. 360 control and energy security goals; 3) to use a hybrid model ­ CIMS, as this incorporates improvements

  2. Development and use of the GREET model to estimate fuel-cycle energy use and emissions of various transportation technologies and fuels

    SciTech Connect (OSTI)

    Wang, M.Q.

    1996-03-01T23:59:59.000Z

    This report documents the development and use of the Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation (GREET) model. The model, developed in a spreadsheet format, estimates the full fuel- cycle emissions and energy use associated with various transportation fuels for light-duty vehicles. The model calculates fuel-cycle emissions of five criteria pollutants (volatile organic compounds, carbon monoxide, nitrogen oxides, sulfur oxides, and particulate matter measuring 10 microns or less) and three greenhouse gases (carbon dioxide, methane, and nitrous oxide). The model also calculates the total fuel-cycle energy consumption, fossil fuel consumption, and petroleum consumption using various transportation fuels. The GREET model includes 17 fuel cycles: petroleum to conventional gasoline, reformulated gasoline, clean diesel, liquefied petroleum gas, and electricity via residual oil; natural gas to compressed natural gas, liquefied petroleum gas, methanol, hydrogen, and electricity; coal to electricity; uranium to electricity; renewable energy (hydrogen, solar energy, and wind) to electricity; corn, woody biomass, and herbaceous biomass to ethanol; and landfill gases to methanol. This report presents fuel-cycle energy use and emissions for a 2000 model-year car powered by each of the fuels that are produced from the primary energy sources considered in the study.

  3. Effect of Gasoline Properties on Exhaust Emissions from Tier 2 Light-Duty Vehicles -- Final Report: Phases 4, 5, & 6; July 28, 2008 - July 27, 2013

    SciTech Connect (OSTI)

    Whitney, K.; Shoffner, B.

    2014-06-01T23:59:59.000Z

    This report covers work the Southwest Research Institute (SwRI) Office of Automotive Engineering has conducted for the National Renewable Energy Laboratory (NREL) in support of the Energy Policy Act of 2005 (EPAct). Section 1506 of EPAct requires the 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.

  4. Estimating Policy-Driven Greenhouse Gas Emissions Trajectories in California: The California Greenhouse Gas Inventory Spreadsheet (GHGIS) Model

    SciTech Connect (OSTI)

    Greenblatt, Jeffery B.

    2013-10-10T23:59:59.000Z

    A California Greenhouse Gas Inventory Spreadsheet (GHGIS) model was developed to explore the impact of combinations of state policies on state greenhouse gas (GHG) and regional criteria pollutant emissions. The model included representations of all GHG- emitting sectors of the California economy (including those outside the energy sector, such as high global warming potential gases, waste treatment, agriculture and forestry) in varying degrees of detail, and was carefully calibrated using available data and projections from multiple state agencies and other sources. Starting from basic drivers such as population, numbers of households, gross state product, numbers of vehicles, etc., the model calculated energy demands by type (various types of liquid and gaseous hydrocarbon fuels, electricity and hydrogen), and finally calculated emissions of GHGs and three criteria pollutants: reactive organic gases (ROG), nitrogen oxides (NOx), and fine (2.5 ?m) particulate matter (PM2.5). Calculations were generally statewide, but in some sectors, criteria pollutants were also calculated for two regional air basins: the South Coast Air Basin (SCAB) and the San Joaquin Valley (SJV). Three scenarios were developed that attempt to model: (1) all committed policies, (2) additional, uncommitted policy targets and (3) potential technology and market futures. Each scenario received extensive input from state energy planning agencies, in particular the California Air Resources Board. Results indicate that all three scenarios are able to meet the 2020 statewide GHG targets, and by 2030, statewide GHG emissions range from between 208 and 396 MtCO2/yr. However, none of the scenarios are able to meet the 2050 GHG target of 85 MtCO2/yr, with emissions ranging from 188 to 444 MtCO2/yr, so additional policies will need to be developed for California to meet this stringent future target. A full sensitivity study of major scenario assumptions was also performed. In terms of criteria pollutants, targets were less well-defined, but while all three scenarios were able to make significant reductions in ROG, NOx and PM2.5 both statewide and in the two regional air basins, they may nonetheless fall short of what will be required by future federal standards. Specifically, in Scenario 1, regional NOx emissions are approximately three times the estimated targets for both 2023 and 2032, and in Scenarios 2 and 3, NOx emissions are approximately twice the estimated targets. Further work is required in this area, including detailed regional air quality modeling, in order to determine likely pathways for attaining these stringent targets.

  5. Modeling, Simulation Design and Control of Hybrid-Electric Vehicle Drives

    SciTech Connect (OSTI)

    Giorgio Rizzoni

    2005-09-30T23:59:59.000Z

    Ohio State University (OSU) is uniquely poised to establish such a center, with interdisciplinary emphasis on modeling, simulation, design and control of hybrid-electric drives for a number of reasons, some of which are: (1) The OSU Center for Automotive Research (CAR) already provides an infrastructure for interdisciplinary automotive research and graduate education; the facilities available at OSU-CAR in the area of vehicle and powertrain research are among the best in the country. CAR facilities include 31,000 sq. feet of space, multiple chassis and engine dynamometers, an anechoic chamber, and a high bay area. (2) OSU has in excess of 10 graduate level courses related to automotive systems. A graduate level sequence has already been initiated with GM. In addition, an Automotive Systems Engineering (ASE) program cosponsored by the mechanical and electrical engineering programs, had been formulated earlier at OSU, independent of the GATE program proposal. The main objective of the ASE is to provide multidisciplinary graduate education and training in the field of automotive systems to Masters level students. This graduate program can be easily adapted to fulfill the spirit of the GATE Center of Excellence. (3) A program in Mechatronic Systems Engineering has been in place at OSU since 1994; this program has a strong emphasis on automotive system integration issues, and has emphasized hybrid-electric vehicles as one of its application areas. (4) OSU researchers affiliated with CAR have been directly involved in the development and study of: HEV modeling and simulation; electric drives; transmission design and control; combustion engines; and energy storage systems. These activities have been conducted in collaboration with government and automotive industry sponsors; further, the same researchers have been actively involved in continuing education programs in these areas with the automotive industry. The proposed effort will include: (1) The development of a laboratory facility that will include: electric drive and IC engine test benches; a test vehicle designed for rapid installation of prototype drives; benches for the measurement and study of HEV energy storage components (batteries, ultra-capacitors, flywheels); hardware-in-the-loop control system development tools. (2) The creation of new courses and upgrades of existing courses on subjects related to: HEV modeling and simulation; supervisory control of HEV drivetrains; engine, transmission, and electric drive modeling and control. Specifically, two new courses (one entitled HEV Component Analysis: and the other entitled HEV System Integration and Control) will be developed. Two new labs, that will be taught with the courses (one entitled HEV Components Lab and one entitled HEV Systems and Control lab) will also be developed. (3) The consolidation of already existing ties among faculty in electrical and mechanical engineering departments. (4) The participation of industrial partners through: joint laboratory development; internship programs; continuing education programs; research project funding. The proposed effort will succeed because of the already exceptional level of involvement in HEV research and in graduate education in automotive engineering at OSU, and because the PIs have a proven record of interdisciplinary collaboration as evidenced by joint proposals, joint papers, and co-advising of graduate students. OSU has been expanding its emphasis in Automotive Systems for quite some time. This has led to numerous successes such as the establishment of the Center of Automotive Research, a graduate level course sequence with GM, and numerous grants and contracts on automotive research. The GATE Center of Excellence is a natural extension of what educators at OSU already do well.

  6. QUANTIFYING THE EXTERNAL COSTS OF VEHICLE USE: EVIDENCE FROM AMERICA'S TOP SELLING LIGHT-DUTY MODELS

    E-Print Network [OSTI]

    Kockelman, Kara M.

    -selling passenger cars and light-duty trucks in the U.S. Among these external costs, those associated with crashes estimated for several other vehicles of particular interest, including GM's Hummer and several hybrid drive: small cars, mid-sized cars, large cars, luxury cars, crossover utility vehicles (CUVs), sport

  7. DOE Project: Optimization of Advanced Diesel Engine Combustion Strategies "University Research in Advanced Combustion and Emissions Control" Office of FreedomCAR and Vehicle Technologies Program

    SciTech Connect (OSTI)

    Reitz, Rolf; Foster, D.; Ghandhi, J.; Rothamer, D.; Rutland, C.; Sanders, S.; Trujillo, M.

    2012-10-26T23:59:59.000Z

    The goal of the present technology development was to increase the efficiency of internal combustion engines while minimizing the energy penalty of meeting emissions regulations. This objective was achieved through experimentation and the development of advanced combustion regimes and emission control strategies, coupled with advanced petroleum and non-petroleum fuel formulations. To meet the goals of the project, it was necessary to improve the efficiency of expansion work extraction, and this required optimized combustion phasing and minimized in-cylinder heat transfer losses. To minimize fuel used for diesel particulate filter (DPF) regeneration, soot emissions were also minimized. Because of the complex nature of optimizing production engines for real-world variations in fuels, temperatures and pressures, the project applied high-fidelity computing and high-resolution engine experiments synergistically to create and apply advanced tools (i.e., fast, accurate predictive models) developed for low-emission, fuel-efficient engine designs. The companion experiments were conducted using representative single- and multi-cylinder automotive and truck diesel engines.

  8. Vehicle Fuel Economy Improvement through Thermoelectric Waste...

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

    Fuel Economy Improvement through Thermoelectric Waste Heat Recovery Vehicle Fuel Economy Improvement through Thermoelectric Waste Heat Recovery 2005 Diesel Engine Emissions...

  9. Incorporating stakeholders' perspectives into models of new technology diffusion: The case of fuel-cell vehicles

    E-Print Network [OSTI]

    Collantes, Gustavo O

    2007-01-01T23:59:59.000Z

    policy to reduce oil consumption, greenhouse gas emissionspollutant emissions, and oil consumption. Research in this

  10. Incorporating stakeholders' perspectives into models of new technology diffusion: The case of fuel-cell vehicles

    E-Print Network [OSTI]

    Collantes, Gustavo O

    2007-01-01T23:59:59.000Z

    emissions while at the same time offer private benefits relative to conventional internal combustion engine

  11. Guidelines for the Establishment of a Model Neighborhood Electric Vehicle (NEV) Fleet

    SciTech Connect (OSTI)

    Roberta Brayer; Donald Karner; Kevin Morrow; James Francfort

    2006-06-01T23:59:59.000Z

    The U.S. Department of Energy’s Advanced Vehicle Testing Activity tests neighborhood electric vehicles (NEVs) in both track and fleet testing environments. NEVs, which are also known as low speed vehicles, are light-duty vehicles with top speeds of between 20 and 25 mph, and total gross vehicle weights of approximately 2,000 pounds or less. NEVs have been found to be very viable alternatives to internal combustion engine vehicles based on their low operating costs. However, special charging infrastructure is usually necessary for successful NEV fleet deployment. Maintenance requirements are also unique to NEVs, especially if flooded lead acid batteries are used as they have watering requirements that require training, personnel protection equipment, and adherence to maintenance schedules. This report provides guidelines for fleet managers to follow in order to successfully introduce and operate NEVs in fleet environments. This report is based on the NEV testing and operational experience of personnel from the Advanced Vehicle Testing Activity, Electric Transportation Applications, and the Idaho National Laboratory.

  12. Use of Physical Models to Facilitate Transfer of Physics Learning to Understand Positron Emission Tomography*

    E-Print Network [OSTI]

    Zollman, Dean

    interactive learning with the aid of physical models. Three different types of non-scaffolded transfer haveUse of Physical Models to Facilitate Transfer of Physics Learning to Understand Positron Emission, positron emission tomography, transfer of learning PACS: 01.40Fk Supported by the National Science

  13. SAE Paper 04P-273 Modeling of Diesel Combustion and NO Emissions Based on a

    E-Print Network [OSTI]

    Im, Hong G.

    SAE Paper 04P-273 Modeling of Diesel Combustion and NO Emissions Based on a Modified Eddy of Automotive Engineers, Inc. ABSTRACT This paper reports the development of a model of diesel combustion about global warming and hazardous emissions bring about a need for an improved understanding of diesel

  14. A Parameterized Microwace Emission Model for Dry Snow Cover Lingmei JIANG1,2,3

    E-Print Network [OSTI]

    California at Santa Barbara, University of

    , and the measurements can be carried out through cloud cover. When snow starts to melt, emission will significantly the vector radiative transfer equations to include the multi-scattering effects. This model uses 1) the dense the Dense Media Radiative Transfer Model (DMRT) and AIEM to simulation of dry snow emission with Matrix

  15. 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]

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

    2010-01-01T23:59:59.000Z

    of a typical Internal Combustion Engine (ICE) vehicle and awhile an Internal Combustion Engine (ICE) suppliesoff and the internal combustion engine starts to operate.

  16. Feasibility Study Of Advanced Technology Hov Systems: Volume 2b: Emissions Impact Of Roadway-powered Electric Buses, Light-duty Vehicles, And Automobiles

    E-Print Network [OSTI]

    Miller, Mark A.; Dato, Victor; Chira-chavala, Ted

    1992-01-01T23:59:59.000Z

    LIGHT-DUTY VEHICLES, AND AUTOMOBILES Mark A. Miller Victorand The analysis involves automobiles in California arePowered Electric Automobiles -a---- Range of Estimated

  17. Modeling the performance and cost of lithium-ion batteries for electric-drive vehicles.

    SciTech Connect (OSTI)

    Nelson, P. A.

    2011-10-20T23:59:59.000Z

    This report details the Battery Performance and Cost model (BatPaC) developed at Argonne National Laboratory for lithium-ion battery packs used in automotive transportation. The model designs the battery for a specified power, energy, and type of vehicle battery. The cost of the designed battery is then calculated by accounting for every step in the lithium-ion battery manufacturing process. The assumed annual production level directly affects each process step. The total cost to the original equipment manufacturer calculated by the model includes the materials, manufacturing, and warranty costs for a battery produced in the year 2020 (in 2010 US$). At the time this report is written, this calculation is the only publically available model that performs a bottom-up lithium-ion battery design and cost calculation. Both the model and the report have been publically peer-reviewed by battery experts assembled by the U.S. Environmental Protection Agency. This report and accompanying model include changes made in response to the comments received during the peer-review. The purpose of the report is to document the equations and assumptions from which the model has been created. A user of the model will be able to recreate the calculations and perhaps more importantly, understand the driving forces for the results. Instructions for use and an illustration of model results are also presented. Almost every variable in the calculation may be changed by the user to represent a system different from the default values pre-entered into the program. The distinct advantage of using a bottom-up cost and design model is that the entire power-to-energy space may be traversed to examine the correlation between performance and cost. The BatPaC model accounts for the physical limitations of the electrochemical processes within the battery. Thus, unrealistic designs are penalized in energy density and cost, unlike cost models based on linear extrapolations. Additionally, the consequences on cost and energy density from changes in cell capacity, parallel cell groups, and manufacturing capabilities are easily assessed with the model. New proposed materials may also be examined to translate bench-scale values to the design of full-scale battery packs providing realistic energy densities and prices to the original equipment manufacturer. The model will be openly distributed to the public in the year 2011. Currently, the calculations are based in a Microsoft{reg_sign} Office Excel spreadsheet. Instructions are provided for use; however, the format is admittedly not user-friendly. A parallel development effort has created an alternate version based on a graphical user-interface that will be more intuitive to some users. The version that is more user-friendly should allow for wider adoption of the model.

  18. Evaluation of fuel consumption potential of medium and heavy duty vehicles through modeling and simulation.

    SciTech Connect (OSTI)

    Delorme, A.; Karbowski, D.; Sharer, P.; Energy Systems

    2010-03-31T23:59:59.000Z

    The main objective of this report is to provide quantitative data to support the Committee in its task of establishing a report to support rulemaking on medium- and heavy-duty fuel efficiency improvement. In particular, it is of paramount importance for the Committee to base or illustrate their conclusions on established models and actual state-of-the art data. The simulations studies presented in the report have been defined and requested by the members of the National Academy committee to provide quantitative inputs to support their recommendations. As such, various technologies and usage scenarios were considered for several applications. One of the objective is to provide the results along with their associated assumptions (both vehicle and drive cycles), information generally missing from public discussions on literature search. Finally, the advantages and limitations of using simulation will be summarized. The study addresses several of the committee tasks, including: (1) Discussion of the implication of metric selection; (2) Assessing the impact of existing technologies on fuel consumption through energy balance analysis (both steady-state and standard cycles) as well as real world drive cycles; and (3) Impact of future technologies, both individually and collectively.

  19. Vehicle Technologies Office Merit Review 2015: Transportation Energy Transition Modeling and Analysis: the LAVE-Trans Model

    Broader source: Energy.gov [DOE]

    Presentation given by Oak Ridge National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about transportation...

  20. Incorporating stakeholders' perspectives into models of new technology diffusion: The case of fuel-cell vehicles

    E-Print Network [OSTI]

    Collantes, Gustavo O

    2007-01-01T23:59:59.000Z

    dual superiority of hydrogen fuel-cell vehicles (FCVs) hasneeded to position the hydrogen–fuel cell combination as ainclude on-board hydrogen storage and fuel cell durability.

  1. Vehicle Technologies Office Merit Review 2015: Improve Fuel Economy through Formulation Design and Modeling

    Broader source: Energy.gov [DOE]

    Presentation given by Ashland Inc. at 2015 DOE Hydrogen and Fuel Cells Program and vehicle technologies office annual merit review and peer evaluation meeting about improve fuel economy through...

  2. Verification of a six-degree of freedom simulation model for the REMUS autonomous underwater vehicle

    E-Print Network [OSTI]

    Prestero, Timothy (Timothy Jason), 1970-

    2001-01-01T23:59:59.000Z

    mproving the performance of modular, low-cost autonomous underwater vehicles (AUVs) in such applications as long-range oceanographic survey, autonomous docking, and shallow-water mine countermeasures requires improving the ...

  3. The electric vehicle experiment : developing the theoretical model for 2.672

    E-Print Network [OSTI]

    Zedler, Matthew R. (Matthew Robert)

    2007-01-01T23:59:59.000Z

    The purpose of this project was to develop a computer simulation of the proposed 2.672 electric vehicle experiment (EVE) to estimate the magnitudes of the powers required in different components of the drive train, piecewise ...

  4. Electric vehicle charging infrastructure deployment : policy analysis using a dynamic behavioral spatial model

    E-Print Network [OSTI]

    Kearney, Michael J. (Michael Joseph)

    2011-01-01T23:59:59.000Z

    The United States government is committed to promoting a market for electric vehicles. To ensure that this electrification program does not result in the same failure that has come be associated with its predecessor programs, ...

  5. AVCEM: Advanced Vehicle Cost and Energy Use Model. Overview of AVCEM

    E-Print Network [OSTI]

    Delucchi, Mark

    2005-01-01T23:59:59.000Z

    device, such as a high-power battery. AVCEM has over 1000source, such as a peak-power battery, drives the vehicle Thedevice (say, a high-power battery) or traction battery must

  6. A discrete event simulation model for unstructured supervisory control of unmanned vehicles

    E-Print Network [OSTI]

    McDonald, Anthony D. (Anthony Douglas)

    2010-01-01T23:59:59.000Z

    Most current Unmanned Vehicle (UV) systems consist of teams of operators controlling a single UV. Technological advances will likely lead to the inversion of this ratio, and automation of low level tasking. These advances ...

  7. Integrated perception, modeling, and control paradigm for bistatic sonar tracking by autonomous underwater vehicles

    E-Print Network [OSTI]

    Lum, Raymond Hon Kit

    2012-01-01T23:59:59.000Z

    In this thesis, a fully autonomous and persistent bistatic anti-submarine warfare (ASW) surveillance solution is developed using the autonomous underwater vehicles (AUVs). The passive receivers are carried by these AUVs, ...

  8. Modeling demand for electric vehicles: the effect of car users' attitudes and perceptions

    E-Print Network [OSTI]

    Bierlaire, Michel

    electric cars and petrol-driven ones and in particular which include the respondents' own cars. Electric vehicles have major advantages compared to the petrol-driven ones: they do not emit carbon dioxyde

  9. Vehicle Technologies Office Merit Review 2014: Modeling for Market Analysis: HTEB, TRUCK, and LVChoice

    Broader source: Energy.gov [DOE]

    Presentation given by TA Engineering, Inc. at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about HTEB, TRUCK, and...

  10. Efficient determination of vehicle emission factors by fuel use category using on-road measurements: downward trends on Los Angeles freight corridor I-710

    E-Print Network [OSTI]

    Hudda, N.; Fruin, S.; Delfino, R. J; Sioutas, C.

    2013-01-01T23:59:59.000Z

    Turnover on Drayage Truck Emissions at the Port of Oakland.heavy duty diesel trucks emissions were measured either at aexpected NO x emission from trucks may affect attainability

  11. Evaluation of the Suitability of Polarimetric Scattering and Emissivity Models with Scene Generation Software

    E-Print Network [OSTI]

    Gartley, Michael G.

    Evaluation of the Suitability of Polarimetric Scattering and Emissivity Models with Scene models and hardware based infrared scene projectors commonly utilize analytical forms of polarized bi, polarimetric imaging sensors and payloads can benefit greatly from polarization capable synthetic image

  12. Back-calculating emission rates for ammonia and particulate matter from area sources using dispersion modeling

    E-Print Network [OSTI]

    Price, Jacqueline Elaine

    2004-11-15T23:59:59.000Z

    backward Lagrangian stochastic model and a Gaussian plume dispersion model. This analysis assessed the uncertainty surrounding each sampling procedure in order to gain a better understanding of the uncertainty in the final emission rate calculation (a basis...

  13. AVTA: 2010 Electric Vehicles International Neighborhood Electric Vehicle Testing Results

    Broader source: Energy.gov [DOE]

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

  14. Tier 2 Useful Life (120,000 miles) Exhaust Emission Results for a NOx Adsorber and Diesel Particle Filter Equipped Light-Duty Diesel Vehicle

    SciTech Connect (OSTI)

    Tatur, M.; Tomazic, D.; Thornton, M.; Orban, J.; Slone, E.

    2006-05-01T23:59:59.000Z

    Investigates the emission control system performance and system desulfurization effects on regulated and unregulated emissions in a light-duty diesel engine.

  15. Vehicle Technologies Office: 2008 Advanced Vehicle Technology...

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

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

  16. Development of a CAN Based Electric Vehicle Control System

    E-Print Network [OSTI]

    Vincent, Stephen Andrew

    2014-08-31T23:59:59.000Z

    along with increased reliability resulted in a sharp decline of electric vehicle popularity. Much later, in the 1960s, interest in electric vehicles re-emerged due to rising oil prices and concerns about the output of harmful emissions from gasoline... was mostly dead, with the exception of a few niche markets. Increasing gasoline prices along with increased concerns about vehicle emissions led to a resurgence in interest toward electric vehicles. Many electric vehicles being developed at the time were...

  17. Vehicle Technologies Office Merit Review 2014: Development of Cell/Pack Level Models for Automotive Li-Ion Batteries with Experimental Validation

    Broader source: Energy.gov [DOE]

    Presentation given by EC Power at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about evelopment of cell/pack level models...

  18. Vehicle Technologies Office Merit Review 2015: First Principles Modeling of SEI Formation on Bare and Surface/Additive Modified Silicon Anodes

    Broader source: Energy.gov [DOE]

    Presentation given by Texas A&M at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about first principles modeling of...

  19. Modeling of Particulate Matter Emissions from Agricultural Operations

    E-Print Network [OSTI]

    Bairy, Jnana 1988-

    2013-01-02T23:59:59.000Z

    State Air Pollution Regulation Agencies (SAPRAs) issue and enforce permits that limit particulate matter emissions from all sources including layer and broiler facilities, cattle feedyards, dairies, cotton gins, and grain elevators...

  20. NOVA-NREL Optimal Vehicle Acquisition Analysis (Brochure)

    SciTech Connect (OSTI)

    Blakley, H.

    2011-03-01T23:59:59.000Z

    Federal fleet managers face unique challenges in accomplishing their mission - meeting agency transportation needs while complying with Federal goals and mandates. Included in these challenges are a variety of statutory requirements, executive orders, and internal goals and objectives that typically focus on petroleum consumption and greenhouse gas (GHG) emissions reductions, alternative fuel vehicle (AFV) acquisitions, and alternative fuel use increases. Given the large number of mandates affecting Federal fleets and the challenges faced by all fleet managers in executing day-to-day operations, a primary challenge for agencies and other organizations is ensuring that they are as efficient as possible in using constrained fleet budgets. An NREL Optimal Vehicle Acquisition (NOVA) analysis makes use of a mathematical model with a variety of fleet-related data to create an optimal vehicle acquisition strategy for a given goal, such as petroleum or GHG reduction. The analysis can helps fleets develop a vehicle acquisition strategy that maximizes petroleum and greenhouse gas reductions.

  1. Armored Vehicle 

    E-Print Network [OSTI]

    Unknown

    2011-09-05T23:59:59.000Z

    This research is focused on designing a new generation of CAD tools that could help a ”hybrid vehicle” designer with the design process to come up with better vehicle configurations. The conventional design process for any type of hybrid...

  2. Compilation and evaluation of a Paso del Norte emission inventory for use in photochemical dispersion modeling

    SciTech Connect (OSTI)

    Haste, T.L.; Kumar, N.; Chinkin, L.R.; Roberts, P.T.; Saeger, M.; Mulligan, S.; Yarbrough, J.

    1999-07-01T23:59:59.000Z

    Emission inventories are routinely used for planning purposes and as input to comprehensive photochemical air quality models. Photochemical model performance and the development of an effective control strategy are predicated on the accuracy of an underlying emission inventory. The purpose of this study was to compile an ozone precursor emission inventory for the El Paso/Ciudad Juarez/Southern Dona Ana region; generate a spatially and temporally resolved, speciated emission inventory; and evaluate the accuracy and representativeness of the inventory. Existing point, area, and mobile source emissions data were obtained from local government agencies. Emissions were spatially and temporally allocated to a gridded domain using region-specific demographic and land cover information. The inventory was processed using the US Environmental Protection Agency (EPA) recommended Urban Airshed Model Emissions Preprocessor System 2.0 (UAM-EPS 2.0) which generates emissions files that can be directly used as input to the Urban Airshed Model. An evaluation of the emission inventory was then performed by comparing inventory non-methane hydrocarbon (NMHC)/NO{sub x} and CO/NO{sub x} ratios to ambient ratios using air quality data collected during the 1996 Paso del Norte Ozone Study. Detailed NMHC species comparisons were also made in order to investigate the relative composition of individual hydrocarbon species in the emission inventory and in the ambient data. This initial emission inventory is expected to undergo substantial revisions during the upcoming photochemical modeling phase of the effort to better understand and improve the air quality of the El Paso/Ciudad Juarez/Southern Dona Ana region.

  3. VEHICLE NETWORKS: ACHIEVING REGULAR FORMATION

    E-Print Network [OSTI]

    VEHICLE NETWORKS: ACHIEVING REGULAR FORMATION MADALENA CHAVES, ROBERT DAY, LUCIA GOMEZ a network of vehicles exchanging information among themselves with the intention of achieving a specified the performance of the vehicle network. A stochastic model for information flow is also considered, allowing

  4. Application of Distribution Transformer Thermal Life Models to Electrified Vehicle Charging Loads Using Monte-Carlo Method: Preprint

    SciTech Connect (OSTI)

    Kuss, M.; Markel, T.; Kramer, W.

    2011-01-01T23:59:59.000Z

    Concentrated purchasing patterns of plug-in vehicles may result in localized distribution transformer overload scenarios. Prolonged periods of transformer overloading causes service life decrements, and in worst-case scenarios, results in tripped thermal relays and residential service outages. This analysis will review distribution transformer load models developed in the IEC 60076 standard, and apply the model to a neighborhood with plug-in hybrids. Residential distribution transformers are sized such that night-time cooling provides thermal recovery from heavy load conditions during the daytime utility peak. It is expected that PHEVs will primarily be charged at night in a residential setting. If not managed properly, some distribution transformers could become overloaded, leading to a reduction in transformer life expectancy, thus increasing costs to utilities and consumers. A Monte-Carlo scheme simulated each day of the year, evaluating 100 load scenarios as it swept through the following variables: number of vehicle per transformer, transformer size, and charging rate. A general method for determining expected transformer aging rate will be developed, based on the energy needs of plug-in vehicles loading a residential transformer.

  5. Modelling of Neutron Emission Spectroscopy in JET Discharges with Fast Tritons from (T)D Ion Cyclotron Heating

    E-Print Network [OSTI]

    Modelling of Neutron Emission Spectroscopy in JET Discharges with Fast Tritons from (T)D Ion Cyclotron Heating

  6. Zhai, H., H.C. Frey, N.M. Rouphail, G.A. Gonalves, and T.L. Farias, "Fuel Consumption and Emissions Comparisons between Ethanol 85 and Gasoline Fuels for Flexible Fuel Vehicles," Paper No. 2007-AWMA-444, Proceedings, 100th

    E-Print Network [OSTI]

    Frey, H. Christopher

    and Emissions Comparisons between Ethanol 85 and Gasoline Fuels for Flexible Fuel Vehicles," Paper No. 2007-AWMA 26-28, 2007 1 Fuel Consumption and Emissions Comparisons between Ethanol 85 and Gasoline Fuels, 1049- 001Lisbon, Portugal INTRODUCTION Ethanol-based fuels may offer advantages of reduced national

  7. Modeling impacts of carbon sequestration on net greenhouse gas emissions from agricultural soils in China

    E-Print Network [OSTI]

    Modeling impacts of carbon sequestration on net greenhouse gas emissions from agricultural soils impacts of carbon sequestration on net greenhouse gas emissions from agricultural soils in China, Global Biogeochem. Cycles, 23, GB1007, doi:10.1029/2008GB003180. 1. Introduction [2] Carbon (C) sequestration has

  8. Modeling of EUV Emission and Conversion Efficiency from Laser-Produced Tin Plasmas for Nanolithography

    E-Print Network [OSTI]

    Harilal, S. S.

    Modeling of EUV Emission and Conversion Efficiency from Laser-Produced Tin Plasmas simulation tools. Here, we investigate the radiative properties of tin and tin-doped foam plasmas heated by 1 at intermediate focus (IF). Laser-generated plasmas containing lithium, xenon or tin are potentially good emission

  9. Vehicle Technologies Office Merit Review 2014: Cummins-ORNL/FEERC Emissions CRADA: NOx Control & Measurement Technology for Heavy-Duty Diesel Engines

    Broader source: Energy.gov [DOE]

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

  10. Vehicle Technologies Office Merit Review 2014: Transportation Energy Transition Modeling and Analysis: the LAVE-Trans Model

    Broader source: Energy.gov [DOE]

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

  11. On the Higher-Order MoM-PO Electromagnetic Modeling of Vehicles

    E-Print Network [OSTI]

    Notaros, Branislav M.

    vehicles (cars, airplanes, helicopters, spacecraft, etc.). From the electromagnetic point of view and accurate higher-order, large-domain hybrid computational technique based on the method of moments (Mo the efficiency and accuracy of the hybrid higher-order computational technique and its advantages over

  12. HyDIVE (Hydrogen Dynamic Infrastructure and Vehicle Evolution...

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

    HyDIVE (Hydrogen Dynamic Infrastructure and Vehicle Evolution) Model Analysis HyDIVE (Hydrogen Dynamic Infrastructure and Vehicle Evolution) Model Analysis Presentation by NREL's...

  13. 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]

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

    2010-01-01T23:59:59.000Z

    internal combustion engine is working, it reasonably can be assumed to have similar emissionInternal Combustion Engine (ICE) supplies additional power for high- speed/power operation. Although some studies capture emission

  14. Scale model seismicity: a detailed study of deformation localisation from laboratory acoustic emission data 

    E-Print Network [OSTI]

    Graham, Caroline C.

    2010-01-01T23:59:59.000Z

    Acoustic emissions (AE) can provide information relating to the internal state of a deforming rock sample during laboratory testing and have been utilised to quantify damage progression for time-dependent failure modeling. ...

  15. Emissions and Energy: An Integral Approach Using an Online Energy Management and Optimization Model

    E-Print Network [OSTI]

    Ruiz, D.; Ruiz, C.; Santollani, O.; Reitmeier, T.

    2010-01-01T23:59:59.000Z

    examples and results corresponding to the application of such systems to refineries will be discussed. In addition, the integration of CO2 emission costs and constraints into the online energy system models and their optimization is also explained....

  16. Modeling ruminant methane emissions from the U.S. beef cattle industry

    E-Print Network [OSTI]

    Turk, Danny Carroll

    1993-01-01T23:59:59.000Z

    Computer models were constructed to estimate methane emissions from cow/calf, replacement heifers, burs, stockers and feedlot sectors of the U.S. beef cattle industry. Methane (CH4) yields were calculated based on net energy values and forage...

  17. Realistic analytic model for the prompt and high latitude emission in GRBs

    E-Print Network [OSTI]

    F. Genet; J. Granot

    2009-07-15T23:59:59.000Z

    Most gamma-ray bursts (GRBs) observed by the Swift satellite show an early rapid decay phase (RDP) in their X-ray lightcurve, which is usually a smooth continuation of the prompt gamma-ray emission, strongly suggesting that it is its tail. However, the mechanism behind it is still not clear. The most popular model for this RDP is High Latitude Emission (HLE). While HLE is expected in many models for the prompt GRB emission, such as the popular internal shocks model, there are models in which it is not expected, such as sporadic magnetic reconnection events. Therefore, testing whether the RDP is consistent with HLE can help distinguish between different prompt emission models. We address this question by modeling the prompt emission as the sum of its individual pulses with their HLE tails. Analytic expressions for the observed flux density are obtained for power-law and Band function emission spectra. For internal shocks the observed instantaneous spectrum is very close to the emitted one, and should be well described by a Band function also during the RDP. Our model naturally produces, the observed spectral softening and steepening of the flux decay. The observed flux during the RDP is initially dominated by the tail of the last pulse, but the tails of one or more earlier pulses can become dominant later on. Moreover, modeling several overlapping pulses as a single wider pulse would over-predict the emission tail. Thus, one should be very careful when testing the predictions of HLE and do a combined temporal and spectral fit of the prompt GRB emission and the RDP.

  18. Energy Efficiency in Heavy Vehicle Tires, Drivetrains, and Braking Systems

    SciTech Connect (OSTI)

    Peter J. Blau

    2000-04-26T23:59:59.000Z

    This document was prepared to support the primary goals of the Department of Energy, Office of Heavy Vehicle Technologies. These were recently stated as follows: ''Develop by 2004 the enabling technologies for a class 7-8 truck with a fuel efficiency of 10 mpg (at 65 mph) which will meet prevailing emission standards. For Class 3-6 trucks operating on an urban driving cycle, develop by 2004 commercially viable vehicles that achieve at least double the fuel economy of comparable current vehicles (1999), and as a research goal, reduce criteria pollutants to 30% below EPA standards. Develop by 2004 the diesel engine enabling technologies to support large-scale industry dieselization of Class 1 and 2 trucks, achieving a 35 % fuel efficiency improvement over comparable gasoline-fueled trucks, while meeting applicable emissions standards.'' The enabling technologies for improving the fuel efficiency of trucks, include not only engine technologies but also technologies involved with lowering the rolling resistance of tires, reducing vehicle aerodynamic drag, improving thermal management, and reducing parasitic frictional losses in drive train components. Opportunities also exist for making better use of the energy that might ordinarily be dissipated during vehicle braking. Braking systems must be included in this evaluation since safety in truck operations is vital, and braking requirements are greater for vehicles having lowered resistance to rolling. The Office of Heavy Vehicle Technologies has initiated a program to improve the aerodynamics of heavy vehicles through wind tunnel testing, computational modeling, and on-road evaluations. That activity is described in a separate multi-year plan; therefore, emphasis in this document will be on tires, drive trains, and braking systems. Recent, dramatic fluctuations in diesel fuel prices have emphasized the importance of effecting savings in truck fuel economy by implementing new component designs and materials.

  19. Electric vehicles

    SciTech Connect (OSTI)

    Not Available

    1990-03-01T23:59:59.000Z

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

  20. Evaluation of methane emissions from Palermo municipal landfill: Comparison between field measurements and models

    SciTech Connect (OSTI)

    Di Bella, Gaetano, E-mail: dibella@idra.unipa.it [Dipartimento di Ingegneria Civile, Ambientale e Aerospaziale, Universita di Palermo, Viale delle Scienze, 90128 Palermo (Italy); Di Trapani, Daniele, E-mail: ditrapani@idra.unipa.it [Dipartimento di Ingegneria Civile, Ambientale e Aerospaziale, Universita di Palermo, Viale delle Scienze, 90128 Palermo (Italy); Viviani, Gaspare, E-mail: gviv@idra.unipa.it [Dipartimento di Ingegneria Civile, Ambientale e Aerospaziale, Universita di Palermo, Viale delle Scienze, 90128 Palermo (Italy)

    2011-08-15T23:59:59.000Z

    Methane (CH{sub 4}) diffuse emissions from Municipal Solid Waste (MSW) landfills represent one of the most important anthropogenic sources of greenhouse gas. CH{sub 4} is produced by anaerobic biodegradation of organic matter in landfilled MSW and constitutes a major component of landfill gas (LFG). Gas recovery is a suitable method to effectively control CH{sub 4} emissions from landfill sites and the quantification of CH{sub 4} emissions represents a good tool to evaluate the effectiveness of a gas recovery system in reducing LFG emissions. In particular, LFG emissions can indirectly be evaluated from mass balance equations between LFG production, recovery and oxidation in the landfill, as well as by a direct approach based on LFG emission measurements from the landfill surface. However, up to now few direct measurements of landfill CH{sub 4} diffuse emissions have been reported in the technical literature. In the present study, both modeling and direct emission measuring methodologies have been applied to the case study of Bellolampo landfill located in Palermo, Italy. The main aim of the present study was to evaluate CH{sub 4} diffuse emissions, based on direct measurements carried out with the flux accumulation chamber (static, non-stationary) method, as well as to obtain the CH{sub 4} contoured flux map of the landfill. Such emissions were compared with the estimate achieved by means of CH{sub 4} mass balance equations. The results showed that the emissions obtained by applying the flux chamber method are in good agreement with the ones derived by the application of the mass balance equation, and that the evaluated contoured flux maps represent a reliable tool to locate areas with abnormal emissions in order to optimize the gas recovery system efficiency.