National Library of Energy BETA

Sample records for vehicles model years

  1. Highway vehicle MPG and market shares report: Model year 1990

    SciTech Connect (OSTI)

    Williams, L.S. ); Hu, P.S. )

    1991-04-01

    This issue of Highway Vehicle MPG and Market Shares Report: Model Year 1990 reports the estimated sales-weighted fuel economies, sales, market shares, and other vehicle characteristics of new automobiles and light trucks. The estimates are made on a make and model basis (e.g., Chevrolet is a make and Corsica is a model), from model year 1976 to model year 1990. Vehicle sales data are used as weighting factors in the sales-weighted estimation procedure. Thus, the estimates represent averages of the overall new vehicle fleet, reflecting the composition of the fleet. Highlights are provided on the trends in the vehicle characteristics from one model year to the next. Analyses are also made on fuel economy changes to determine what caused the changes. The new automobile fleet experienced a fuel economy loss of 0.4 mpg from the previous model year, dropping to 27.6 mpg. This is the second consecutive decline in the fuel economy of new automobiles since model year 1983. The main reason for the fuel economy decline in automobiles was that the compact, midsize, and large size classes, which together claimed more than 75% of the new automobile market, each experienced fuel economy declines of 0.4 mpg or more. In contrast, the new light truck fleet showed an increase of 0.3 mpg from the previous year to a current mpg of 20.5. The fuel economy increase in light trucks was primarily due to the fact that the large pickup class, which represents 35.0% of the new 1990 light truck market experienced a gain of 0.7 mpg in its fuel economy. Overall, the sales-weighted fuel economy of the new light-duty vehicle fleet (automobiles and light trucks) dropped to 24.8 mpg in model year 1990, a reduction of 0.2 mpg from model year 1989. 9 refs., 29 figs., 55 tabs.

  2. Motor vehicle MPG and market shares report: model year 1985

    SciTech Connect (OSTI)

    Hu, P.S.

    1986-02-01

    Sales of automobiles jumped dramatically from 10,211,058 units in model year 1984 to 10,968,515 units in model year 1985, an incease of 7.4%. Light trucks had an even more striking increase in sales, rising 17.2% from the previous model year. The sales-weighted fuel economy for the entire automobile fleet continued to climb in model year 1985, from 26.3 mpg in model year 1984 to 27.0 mpg in this model year. The sales-weighted fuel economies in light trucks have remained relatively constant since model year 1979. The trends of various vehicle characteristics from model year 1978 through 1985 are illustrated. 34 figs., 45 tabs.

  3. Motor vehicle MPG and market shares report: model year 1984

    SciTech Connect (OSTI)

    Hu, P.S.; Holcomb, M.C.

    1985-01-01

    This issue of the publication reports the sales, market shares, estimated sales-weighted fuel economies, and other estimated sales-weighted vehicle characteristics of automobiles and light trucks for the model year 1984 and for the previous five model years. Comparisons and observations are made on the trends in these vehicles from one model year to the next. An improved methodology is used to allocate the yearly MPG changes among eight components, rather than the four reported in the previous reports. Sales of automobiles showed an increase of 16.6% from model year 1983. An even more striking increase was observed in the sales of light trucks: 30.5% from model year 1983. The 1984 model year experienced a gain of 0.23 mpg in sales-weighted automobile fuel economy. In contrast, light trucks experienced a loss of 0.59 mpg in fuel economy, from 20.50 mpg in model year 1983 to 19.91 mpg in model year 1984.

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

  6. Light-duty vehicle MPG (miles per gallon) and market shares report, Model year 1989

    SciTech Connect (OSTI)

    Williams, L.S. ); Hu, P.S. )

    1990-04-01

    This issue of Light-Duty Vehicle MPG and Market Shares Report: Model Year 1989 reports the estimated sales-weighted fuel economies, sales, market shares, and other vehicle characteristics of automobiles and light trucks. The estimates are made on a make and model basis (e.g., Chevrolet is a make and Corsica is a model), from model year 1976 to model year 1989. Vehicle sales data are used as weighting factors in the sales-weighted estimation procedure. Thus, the estimates represent averages of the overall new vehicle fleet, reflecting the composition of the fleet. Highlights are provided on the trends in the vehicle characteristics from one model year to the next. Analyses are also made on fuel economy changes to determine what caused the changes. Both new automobile and new light truck fleets experienced fuel economy losses of 0.5 mpg from the previous model year, dropping to 28.0 mpg for automobiles and 20.2 mpg for light trucks. This is the first observed decline in fuel economy of new automobiles since model year 1983 and the largest decline since model year 1976. The main reason for the fuel economy decline in automobiles was that every automobile size class showed either losses or no change in their fuel economies. The fuel economy decline in light trucks was primarily due to the fact that two popular size classes, large pickup and small utility vehicle, both experienced losses in their fuel economies. Overall, the sales-weighted fuel economy of the entire light-duty vehicle fleet (automobiles and light trucks) dropped to 25.0 mpg, a reduction of 0.5 mpg from model year 1988. 9 refs., 32 figs., 50 tabs.

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

    SciTech Connect (OSTI)

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

    1989-04-01

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

  8. Motor vehicle mpg and market shares report: first six months of model year 1984

    SciTech Connect (OSTI)

    Hu, P.S.; Greene, D.L.; Till, L.E.

    1984-10-01

    This issue of the publication reports the sales, market shares, estimated sales-weighted fuel economies, and other estimated sales-weighted vehicle characteristics of automobiles and light trucks for the first six months of model year 1984 and for the previous five model years. Comparisons and observations are made on the trends in these vehicles from one model year to the next. An improved methodology is used to allocate the yearly mpg changes among eight components, rather than the four reported in the previous reports. Sales of automobiles showed an increase of 21.8% from the first half of model year 1983. An even more striking increase was observed in the sales of light trucks: 42.2% from the first half of model year 1983. The first six months of model year 1984 experienced a gain of 0.21 mpg in sales-weighted automobile fuel economy. In contrast, light trucks experienced a loss of 0.83 mpg in fuel economy, from 20.52 mpg in model year 1983 to 19.69 mpg in the first half of model year 1984.

  9. Fact #938: August 15, 2016 Median All-Electric Vehicle Range Grew from 73 Miles in Model Year 2011 to 83.5 Miles in Model Year 2016- Dataset

    Office of Energy Efficiency and Renewable Energy (EERE)

    Excel file and dataset for Median All-Electric Vehicle Range Grew from 73 Miles in Model Year 2011 to 83.5 Miles in Model Year 2016

  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. Fact #806: December 2, 2013 Light Vehicle Market Shares, Model Years 1975–2012

    Broader source: Energy.gov [DOE]

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

  12. Motor vehicle MPG and market shares report. MPG and market share data system, model year 1983

    SciTech Connect (OSTI)

    Hu, P.S.; Roberts, G.F.

    1984-02-01

    Estimates of final model year 1983 new car and new light truck MPG are provided. ORNL has modified the procedure for calculating new car MPG. The new procedure takes into account the sales mix of engine size, engine type (gasoline or diesel), and transmission type within a nameplate (car line). For example, the new ORNL method takes into account that over 60 percent of the Chevettes in 1983 were the gasoline version (98 CID engine displacement) with a 3-speed automatic transmission. Also, the three diesel model types accounted for only about 1 percent of the Chevette sales. This new method estimated the Chevette MPG for 1983 to be 33.2, nearly 5 MPG lower than the estimate based on the old method. Since this report contains revised new car MPG estimates for every year, the fuel economy estimates in this report are not comparable to those in any previous ORNL report. The estimates of new light truck MPG have not been revised, however.

  13. Analysis of Casualty Risk per Police-Reported Crash for Model Year 2000 to 2004 Vehicles, using Crash Data from Five States

    SciTech Connect (OSTI)

    Wenzel, Tom

    2011-03-20

    In this report we compare two measures of driver risks: fatality risk per vehicle registration-year, and casualty (fatality plus serious injury) risk per police-reported crash. Our analysis is based on three sets of data from five states (Florida, Illinois, Maryland, Missouri, and Pennsylvania): data on all police-reported crashes involving model year 2000 to 2004 vehicles; 2005 county-level vehicle registration data by vehicle model year and make/model; and odometer readings from vehicle emission inspection and maintenance (I/M) programs conducted in urban areas of four of the five states (Florida does not have an I/M program). The two measures of risk could differ for three reasons: casualty risks are different from fatality risk; risks per vehicle registration-year are different from risks per crash; and risks estimated from national data are different from risks from the five states analyzed here. We also examined the effect of driver behavior, crash location, and general vehicle design on risk, as well as sources of potential bias in using the crash data from five states.

  14. Webtrends Archives by Fiscal YearVehicles

    Broader source: Energy.gov [DOE]

    From the EERE Web Statistics Archive: Vehicle Technologies Office, Webtrends archives for the site, including the Alternative Fuels Data Center, EPAct Transportation Regulatory Activities, and Clean Cities by fiscal year.

  15. Federal certification test results for 1992 model year. Control of air pollution from new motor vehicles and new motor vehicle engines

    SciTech Connect (OSTI)

    Not Available

    1992-01-01

    Each manufacturer of a passenger car, (light-duty-vehicle), light-duty truck, motorcycle, heavy-duty gasoline engine, and heavy-duty diesel engine is required to demonstrate compliance with the applicable exhaust emission standard. This report contains all of the individual tests that were required by the certification-procedures found in Title 40 of the Code of Federal Regulations in Part 86. These data were submitted to the Environmental Protection Agency's Certification Division at the National Vehicle and Fuel Emissions Laboratory.

  16. Fiscal Year 2015 Vehicle Technologies Program Wide Funding Opportunity...

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

    Fiscal Year 2015 Vehicle Technologies Program Wide Funding Opportunity Announcement Selections The list of 24 awardees given funds to develop and deploy cutting-edge vehicle ...

  17. Models Move Vehicle Design Forward

    Broader source: Energy.gov [DOE]

    These days, modeling software is as important to building a car as welding equipment. The Energy Department’s Vehicle Technologies Office is working to make these models as useful and accurate as possible so that manufacturers can build the next-generation of fuel efficient and advanced technology vehicles.

  18. Transportation and Vehicle Energy Modeling | Argonne National Laboratory

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

    Transportation and Vehicle Energy Modeling Transportation and Vehicle Energy Modeling For the past 15 years, Argonne has been at the forefront of research in energy-efficient transportation. In recent years, the vehicle technologies have become increasingly complex with the introduction of new powertrain configurations (such as electrified vehicles), new component technologies (such as advanced transmissions and engines) and control strategies (such eco-routing). In addition, with increased

  19. Consumer Vehicle Choice Model Documentation

    SciTech Connect (OSTI)

    Liu, Changzheng; Greene, David L

    2012-08-01

    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.

  20. Fiscal Year 2015 Vehicle Technologies Office Incubator Funding...

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

    Office Incubator Funding Opportunity Announcement Fiscal Year 2015 Vehicle Technologies Office Incubator Funding Opportunity Announcement The list of eight awardees given funds to...

  1. Google Archives by Fiscal YearVehicles

    Broader source: Energy.gov [DOE]

    From the EERE Web Statistics Archive: Vehicle Technologies Office, retired Google Analytics profiles for the AFDC Ethanol FY12 and the Directions in Engine-Efficiency and Emissions Research Conference FY12-FY14 sites.

  2. ADOPT: A Historically Validated Light Duty Vehicle Consumer Choice Model

    SciTech Connect (OSTI)

    Brooker, A.; Gonder, J.; Lopp, S.; Ward, J.

    2015-05-04

    The Automotive Deployment Option Projection Tool (ADOPT) is a light-duty vehicle consumer choice and stock model supported by the U.S. Department of Energy’s Vehicle Technologies Office. It estimates technology improvement impacts on U.S. light-duty vehicles sales, petroleum use, and greenhouse gas emissions. ADOPT uses techniques from the multinomial logit method and the mixed logit method estimate sales. Specifically, it estimates sales based on the weighted value of key attributes including vehicle price, fuel cost, acceleration, range and usable volume. The average importance of several attributes changes nonlinearly across its range and changes with income. For several attributes, a distribution of importance around the average value is used to represent consumer heterogeneity. The majority of existing vehicle makes, models, and trims are included to fully represent the market. The Corporate Average Fuel Economy regulations are enforced. The sales feed into the ADOPT stock model. It captures key aspects for summing petroleum use and greenhouse gas emissions This includes capturing the change in vehicle miles traveled by vehicle age, the creation of new model options based on the success of existing vehicles, new vehicle option introduction rate limits, and survival rates by vehicle age. ADOPT has been extensively validated with historical sales data. It matches in key dimensions including sales by fuel economy, acceleration, price, vehicle size class, and powertrain across multiple years. A graphical user interface provides easy and efficient use. It manages the inputs, simulation, and results.

  3. EV Everywhere: Find Electric Vehicle Models | Department of Energy

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

    Find Electric Vehicle Models EV Everywhere: Find Electric Vehicle Models Search Car: Year: -- ALL -- Make: -- ALL -- Market Class: -- ALL -- All-Electric Range: Min -- ALL -- 10 miles 20 miles 30 miles 40 miles 50 miles 60 miles 70 miles 80 miles 90 miles 100 miles 110 miles 120 miles 130+ miles Gasoline Back-Up Available: -- ALL -- No Yes Reset To find out if a plug-in electric vehicle (EV) will work for you, use the menus to the left to sort the available EV models on the market by year, make,

  4. Heavy Duty Vehicle Modeling & Simulation

    Broader source: Energy.gov [DOE]

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

  5. AVTA Vehicle Component Cost Model

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

    Driving ranges for all-electric vehicles vary considerably. Based on the official Environmental Protection Agency (EPA) range values reported on window stickers, the Mitsubishi i-MiEV has the...

  7. VISION Model for Vehicle Technologies and Alternative Fuels ...

    Open Energy Info (EERE)

    VISION Model for Vehicle Technologies and Alternative Fuels Jump to: navigation, search Tool Summary LAUNCH TOOL Name: VISION Model for Vehicle Technologies and Alternative Fuels...

  8. Integrated Mathematical Modeling Software Series of Vehicle Propulsion...

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

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

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

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

    ... model of a system specific to Fort Carson will include a photovoltaic canopy that provides shade for vehicles while feeding energy to the microgrid and vehicle charging stations. ...

  10. Integrated Mathematical Modeling Software Series of Vehicle Propulsion

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

    System: (1) Tractive Effort (T sub ew) of Vehicle Road Wheel/Track Sprocket | Department of Energy Mathematical Modeling Software Series of Vehicle Propulsion System: (1) Tractive Effort (T sub ew) of Vehicle Road Wheel/Track Sprocket Integrated Mathematical Modeling Software Series of Vehicle Propulsion System: (1) Tractive Effort (T sub ew) of Vehicle Road Wheel/Track Sprocket Poster presented at the 16th Directions in Engine-Efficiency and Emissions Research (DEER) Conference in Detroit,

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

    SciTech Connect (OSTI)

    Not Available

    2011-02-01

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

  12. Model Year 2013 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2012-12-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles.

  13. Model Year 2011 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2010-11-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles.

  14. Model Year 2012 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2011-11-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles.

  15. Vehicle Model Validation | Department of Energy

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

    09 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, May 18-22, 2009 -- Washington D.C. vssp_17_rousseau.pdf (1.54 MB) More Documents & Publications Vehicle Technologies Office: 2008 Advanced Vehicle Technology Analysis and Evaluation Activities and Heavy Vehicle Systems Optimization Program Annual Progress Report Autonomie Plug&Play Software Architecture Vehicle Technologies Office: 2009 Advanced Vehicle Technology Analysis and

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

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

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

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

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

    Emissions Modeling: GREET Life Cycle Analysis Vehicle Technologies Office Merit Review 2014: Emissions Modeling: GREET Life Cycle Analysis Presentation given by Argonne National ...

  18. Vehicle Technologies Office Merit Review 2015: Emissions Modeling...

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

    Emissions Modeling: GREET Life Cycle Analysis Vehicle Technologies Office Merit Review 2015: Emissions Modeling: GREET Life Cycle Analysis Presentation given by Argonne National ...

  19. Vehicle Technologies Office: Multi-Year Program Plan 2011-2015

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Vehicle Technologies Office's multi-year program plan FY 2011-2015, outlines the scientific research and technology developments for the five-year timeframe (beyond the FY 2010 base year) that need to be undertaken to help meet the Administration'?s goals for reductions in oil consumption and carbon emissions from the ground transport vehicle sector of the economy.

  20. Model Year 2015 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2014-12-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  1. Model Year 2014 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2013-12-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  2. Model Year 2016 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2015-11-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  3. Model Year 2007 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2007-10-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  4. Model Year 2010 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2009-10-14

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  5. Model Year 2009 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2008-10-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  6. Model Year 2005 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2004-11-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  7. Model Year 2008 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2007-10-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  8. Model Year 2006 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2005-11-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  9. Vehicle technologies program Government Performance and Results Act (GPA) report for fiscal year 2012

    SciTech Connect (OSTI)

    Ward, J.; Stephens, T. S.; Birky, A. K.

    2012-08-10

    The U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy has defined milestones for its Vehicle Technologies Program (VTP). This report provides estimates of the benefits that would accrue from achieving these milestones relative to a base case that represents a future in which there is no VTP-supported vehicle technology development. Improvements in the fuel economy and reductions in the cost of light- and heavy-duty vehicles were estimated by using Argonne National Laboratory's Autonomie powertrain simulation software and doing some additional analysis. Argonne also estimated the fraction of the fuel economy improvements that were attributable to VTP-supported development in four 'subsystem' technology areas: batteries and electric drives, advanced combustion engines, fuels and lubricants, and materials (i.e., reducing vehicle mass, called 'lightweighting'). Oak Ridge National Laboratory's MA{sup 3}T (Market Acceptance of Advanced Automotive Technologies) tool was used to project the market penetration of light-duty vehicles, and TA Engineering's TRUCK tool was used to project the penetrations of medium- and heavy-duty trucks. Argonne's VISION transportation energy accounting model was used to estimate total fuel savings, reductions in primary energy consumption, and reductions in greenhouse gas emissions that would result from achieving VTP milestones. These projections indicate that by 2030, the on-road fuel economy of both light- and heavy-duty vehicles would improve by more than 20%, and that this positive impact would be accompanied by a reduction in oil consumption of nearly 2 million barrels per day and a reduction in greenhouse gas emissions of more than 300 million metric tons of CO{sub 2} equivalent per year. These benefits would have a significant economic value in the U.S. transportation sector and reduce its dependency on oil and its vulnerability to oil price shocks.

  10. Fiscal Year 2015 Vehicle Technologies Office Incubator Funding Opportunity Announcement

    Broader source: Energy.gov [DOE]

    The list of eight awardees given funds to develop innovative solutions for efficient and environmentally-friendly vehicle technologies that will help reduce petroleum use in the United States. The...

  11. Vehicle Technologies Office Merit Review 2015: Emissions Modeling: GREET

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

    Life Cycle Analysis | Department of Energy Emissions Modeling: GREET Life Cycle Analysis Vehicle Technologies Office Merit Review 2015: Emissions Modeling: GREET Life Cycle Analysis 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 modeling using the GREET life cycle analysis. van002_wang_2015_o.pdf (1.73 MB) More Documents & Publications Vehicle

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

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

    Modeling, Testing, Data & Results » Vehicle Technologies Office: Modeling and Simulation Vehicle Technologies Office: Modeling and Simulation The Vehicle Technologies Office (VTO) partners with researchers at the national laboratories and industry to identify technologies and strategies needed to achieve the best combination of high fuel economy and low emissions. There are a large number of advanced powertrain configurations that could potentially provide these benefits. However, it is not

  13. Modeling Grid-Connected Hybrid Electric Vehicles Using ADVISOR

    SciTech Connect (OSTI)

    Markel, T.; Wipke, K.

    2001-01-01

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

  14. Vehicle Technologies Office Merit Review 2014: Model Development...

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

    and Analysis of Clean & Efficient Engine Combustion ... 2014 DOE Hydrogen and Fuel Cells Program and Vehicle ... Efficient Modeling of High-Efficiency Clean Combustion ...

  15. Vehicle Technologies Office Merit Review 2015: Model Development...

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

    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 ...

  16. Household Vehicles Energy Consumption 1991

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

    more fuel-efficient vehicles, and the implementation of Corporate Average Fuel Economy (CAFE) 6 standards. Figure 13. Average Fuel Efficiency of All Vehicles, by Model Year 6...

  17. Heavy Duty Vehicle Modeling and Simulation

    Broader source: Energy.gov [DOE]

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

  18. EV Everywhere Grand Challenge: DOE's 10-Year Vision for Plug-in Electric Vehicles

    Office of Energy Efficiency and Renewable Energy (EERE)

    EV Everywhere is a Clean Energy Grand Challenge to have the U.S. become the first nation in the world to produce plug-in electric vehicles that are as affordable for the average American family as today's gasoline-powered vehicles within the next 10 years.

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    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...

  20. 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...

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

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

    Department of Energy Modeling, Testing, Data and Results Vehicle Technologies Office: Modeling, Testing, Data and Results Along with work in individual technologies, the Vehicle Technologies Office (VTO) funds research that explores how to connect these components and systems together in the most effective, efficient way possible. Much of this work uses specialized equipment and software that VTO developed in partnership with the national laboratories, including the industry-leading modeling

  2. Literature review for vehicle correspondence and network modeling and analysis

    SciTech Connect (OSTI)

    Boakye, K; Kidwell, P; Konjevod, G; Lenderman, J

    2015-12-18

    The ability to recognize specific vehicle types (e.g., car make and model) is central to the correspondence task. Here we describe two recent efforts in this area.

  3. Vehicle Technologies Office Merit Review 2016: Chemical Kinetic Models for

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

    Advanced Engine Combustion | Department of Energy Chemical Kinetic Models for Advanced Engine Combustion Vehicle Technologies Office Merit Review 2016: Chemical Kinetic Models for Advanced Engine Combustion Presentation given by Lawrence Livermore National Laboratory (LLNL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about Combustion Engines ace013_pitz_2016_o_web.pdf (1.99 MB) More Documents &

  4. FASTSim: A Model to Estimate Vehicle Efficiency, Cost and Performance

    SciTech Connect (OSTI)

    Brooker, A.; Gonder, J.; Wang, L.; Wood, E.; Lopp, S.; Ramroth, L.

    2015-05-04

    The Future Automotive Systems Technology Simulator (FASTSim) is a high-level advanced vehicle powertrain systems analysis tool supported by the U.S. Department of Energy’s Vehicle Technologies Office. FASTSim provides a quick and simple approach to compare powertrains and estimate the impact of technology improvements on light- and heavy-duty vehicle efficiency, performance, cost, and battery batches of real-world drive cycles. FASTSim’s calculation framework and balance among detail, accuracy, and speed enable it to simulate thousands of driven miles in minutes. The key components and vehicle outputs have been validated by comparing the model outputs to test data for many different vehicles to provide confidence in the results. A graphical user interface makes FASTSim easy and efficient to use. FASTSim is freely available for download from the National Renewable Energy Laboratory’s website (see www.nrel.gov/fastsim).

  5. Vehicle Lightweighting: 40% and 45% Weight Savings Analysis: Technical Cost Modeling for Vehicle Lightweighting

    SciTech Connect (OSTI)

    Mascarin, Anthony; Hannibal, Ted; Raghunathan, Anand; Ivanic, Ziga; Francfort, James

    2015-04-01

    The U.S. Department of Energy’s Vehicle Technologies Office, Materials area commissioned a study to model and assess manufacturing economics of alternative design and production strategies for a series of lightweight vehicle concepts. The strategic targets were a 40% and a 45% mass reduction relative to a standard North American midsize passenger sedan at an effective cost of $3.42 per pound (lb) saved. The baseline vehicle was an average of several available vehicles in this class. Mass and cost breakdowns from several sources were used, including original equipment manufacturers’ (OEMs’) input through U.S. Department of Energy’s Vehicle Technologies Office programs and public presentations, A2Mac1 LLC’s teardown information, Lotus Engineering Limited and FEV, Inc. breakdowns in their respective lightweighting studies, and IBIS Associates, Inc.’s decades of experience in automotive lightweighting and materials substitution analyses. Information on lightweighting strategies in this analysis came from these same sources and the ongoing U.S. Department of Energy-funded Vehma International of America, Inc. /Ford Motor Company Multi-Material Lightweight Prototype Vehicle Demonstration Project, the Aluminum Association Transportation Group, and many United States Council for Automotive Research’s/United States Automotive Materials Partnership LLC lightweight materials programs.

  6. Household Vehicles Energy Use: Latest Data & Trends

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

    vehicle type, and vehicle model year. "600" - represents a "match" based on EIA expert analysis using subject matter experience, in conjunction with past RTECS. Additionally,...

  7. 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.

    2000-12-12

    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.

  8. Electric and hybrid vehicles program. 5th annual report to Congress for Fiscal Year 1981

    SciTech Connect (OSTI)

    1982-03-01

    This fifth annual report on the implementation of the Electric and Hybrid Vehicle Research, Development and Demonstration Act of 1976 (Public Law 94-413, as amended by Public Law 95-238, referred to as the Act) complies with the reporting requirements established in Section 14 of the Act. In addition to informing the Congress of the progress and plans of the Department of Energy Electric and Hybrid Vehicles Program, this report is intended to serve as a communication link between the Department and all of the public and private interests involved in making the program a success. The Annual Report represents the major summary of the Electric and Hybrid Vehicles Program activities; since July 1981, DOE has ceased publication of the EHV Quarterly Reports with Congressional approval. The fourth quarter activities for FY 1981 are included in this report. During FY 1981, significant progress was made toward implementing the policies established by Congress in the Act. There has been a noticeable increase in interest shown by both the automobile manufacturing and the supply sectors of our economy in electric and hybrid vehicles. This year, the emphasis in the Electric and Hybrid Vehicles Program shifted from vehicle demonstration and preparation for production readiness to research, development, test, and evaluation of advanced technologies to achieve the attributes necessary to make electric and hybrid vehicles a practical transportation alternative. Research and development efforts in batteries and propulsion components, as well as total vehicle systems, continue to reveal significant progress toward providing industry with technology options that will result in vehicles with greater public acceptance.

  9. Vehicles

    Broader source: Energy.gov [DOE]

    Vehicles, and the fuel it takes to power them, are an essential part of our American infrastructure and economy. The Energy Department works to develop transportation technologies that will reduce our dependence on foreign oil.

  10. NREL: Transportation Research - Vehicle Thermal Management Models and Tools

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

    Models and Tools image of three models of semi truck cabs. Truck cab models drawn from CAD geometry using CoolCalc (left and center), and a model with overlay of computational fluid dynamics flow (right) indicate areas of heat absorption and loss. Illustrations by Jason Lustbader, Matt Jeffers, and Larry Chaney, NREL The National Renewable Energy Laboratory's (NREL's) vehicle thermal management modeling tools allow researchers to assess the trade-offs and calculate the potential benefits of

  11. LD Vehicles AFDC 11 25 13 TC.xlsx

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Model Year 2014: Alternative Fuel and Advanced Technology Vehicles 1 (Updated 11252013) MY FuelPowertrain Type Make Model Vehicle Type Engine SizeCylinders Transmission...

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

    SciTech Connect (OSTI)

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

    2006-12-20

    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.

  13. Electric and Hybrid Vehicles Program 18th annual report to Congress for Fiscal Year 1994

    SciTech Connect (OSTI)

    1995-04-01

    The Department remains focused on the technologies that are critical to making electric and hybrid vehicles commercially viable and competitive with current production gasoline-fueled vehicles in performance, reliability, and affordability. During Fiscal Year 1994, significant progress was made toward fulfilling the intent of Congress. The Department and the United States Advanced Battery Consortium (a partnership of the three major domestic automobile manufacturers) continued to work together and to focus the efforts of battery developers on the battery technologies that are most likely to be commercialized in the near term. Progress was made in industry cost-shared contracts toward demonstrating the technical feasibility of fuel cells for passenger bus and light duty vehicle applications. Two industry teams which will develop hybrid vehicle propulsion technologies have been selected through competitive procurement and have initiated work, in Fiscal Year 1994. In addition, technical studies and program planning continue, as required by the Energy Policy Act of 1992, to achieve the goals of reducing the transportation sector dependence on imported oil, reducing the level of environmentally harmful emissions, and enhancing industrial productivity and competitiveness.

  14. 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...

  15. 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...

  16. Fact #770: March 11, 2013 Changes to the Top Ten Vehicles Sold over the Last Five Years

    Broader source: Energy.gov [DOE]

    When reviewing the top ten vehicles sold in calendar years 2008 through 2012, the year 2011 stands out. Likely due to Japan's tsunami/earthquake and Thailand's flood, both of which disrupted the...

  17. Model year 2010 Ford Fusion Level-1 testing report.

    SciTech Connect (OSTI)

    Rask, E.; Bocci, D.; Duoba, M.; Lohse-Busch, H.; Energy Systems

    2010-11-23

    As a part of the US Department of Energy's Advanced Vehicle Testing Activity (AVTA), a model year 2010 Ford Fusion was procured by eTec (Phoenix, AZ) and sent to ANL's Advanced Powertrain Research Facility for the purposes of vehicle-level testing in support of the Advanced Vehicle Testing Activity. Data was acquired during testing using non-intrusive sensors, vehicle network information, and facilities equipment (emissions and dynamometer). Standard drive cycles, performance cycles, steady-state cycles, and A/C usage cycles were conducted. Much of this data is openly available for download in ANL's Downloadable Dynamometer Database. The major results are shown in this report. Given the benchmark nature of this assessment, the majority of the testing was done over standard regulatory cycles and sought to obtain a general overview of how the vehicle performs. These cycles include the US FTP cycle (Urban) and Highway Fuel Economy Test cycle as well as the US06, a more aggressive supplemental regulatory cycle. Data collection for this testing was kept at a fairly high level and includes emissions and fuel measurements from an exhaust emissions bench, high-voltage and accessory current/voltage from a DC power analyzer, and CAN bus data such as engine speed, engine load, and electric machine operation. The following sections will seek to explain some of the basic operating characteristics of the MY2010 Fusion and provide insight into unique features of its operation and design.

  18. Model year 2010 Honda insight level-1 testing report.

    SciTech Connect (OSTI)

    Rask, E.; Bocci, D.; Duoba, M.; Lohse-Busch, H.

    2011-03-22

    As a part of the US Department of Energy's Advanced Vehicle Testing Activity (AVTA), a model year 2010 Honda Insight was procured by eTec (Phoenix, AZ) and sent to ANL's Advanced Powertrain Research Facility for the purposes of vehicle-level testing in support of the Advanced Vehicle Testing Activity (AVTA). Data was acquired during testing using non-intrusive sensors, vehicle network information, and facilities equipment (emissions and dynamometer data). Standard drive cycles, performance cycles, steady-state cycles and A/C usage cycles were tested. Much of this data is openly available for download in ANL's Downloadable Dynamometer Database (D3). The major results are shown here in this report. Given the preliminary nature of this assessment, the majority of the testing was done over standard regulatory cycles and seeks to obtain a general overview of how the vehicle performs. These cycles include the US FTP cycle (Urban) and Highway Fuel Economy Test cycle as well as the US06, a more aggressive supplemental regulatory cycle. Data collection for this testing was kept at a fairly high level and includes emissions and fuel measurements from an exhaust emissions bench, high-voltage and accessory current and voltage from a DC power analyzer, and CAN bus data such as engine speed, engine load, and electric machine operation when available. The following sections will seek to explain some of the basic operating characteristics of the MY2010 Insight and provide insight into unique features of its operation and design.

  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. TEG On-Vehicle Performance & Model Validation | Department of Energy

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

    TEG On-Vehicle Performance & Model Validation TEG On-Vehicle Performance & Model Validation Details efforts and results of steady-state and transient models validated with bench, engine dynamometer, and on-vehicle tests to measure actual performance deer12_lagrandeur.pdf (1.93 MB) More Documents & Publications Thermoelectric Generator Performance for Passenger Vehicles Combustion Exhaust Gas Heat to Power Using Thermoelectric Engines Thermoelectric Waste Heat Recovery Program for

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

    Broader source: Energy.gov [DOE]

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

  2. Fact #572: May 25, 2009 CAFE Standards for Model Year 2011 | Department of

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

    Energy 2: May 25, 2009 CAFE Standards for Model Year 2011 Fact #572: May 25, 2009 CAFE Standards for Model Year 2011 On March 30, 2009, the National Highway Traffic Safety Administration (NHTSA) published the final rule for model year (MY) 2011 car and light truck Corporate Average Fuel Economy (CAFE) standards. In this rule, the fuel economy targets are set by taking into account the size of the vehicle as measured by the vehicle footprint [the distance between the wheels (width) multiplied

  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. Vehicle Technologies Office Merit Review 2016: Vehicle Thermal System Modeling in Simulink

    Broader source: Energy.gov [DOE]

    Presentation given by National Renewable Energy Laboratory (NREL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting...

  5. Vehicle Technologies Office Merit Review 2016: Vehicle Lightweighting: Mass Reduction Spectrum Analysis and Process Cost Modeling

    Broader source: Energy.gov [DOE]

    Presentation given by IBIS Associates at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about Lightweighting

  6. Economic Dispatch for Microgrid Containing Electric Vehicles via Probabilistic Modelling

    SciTech Connect (OSTI)

    Yao, Yin; Gao, Wenzhong; Momoh, James; Muljadi, Eduard

    2015-10-06

    In this paper, an economic dispatch model with probabilistic modeling is developed for microgrid. Electric power supply in microgrid consists of conventional power plants and renewable energy power plants, such as wind and solar power plants. Due to the fluctuation of solar and wind plants' output, an empirical probabilistic model is developed to predict their hourly output. According to different characteristics of wind and solar plants, the parameters for probabilistic distribution are further adjusted individually for both power plants. On the other hand, with the growing trend of Plug-in Electric Vehicle (PHEV), an integrated microgrid system must also consider the impact of PHEVs. Not only the charging loads from PHEVs, but also the discharging output via Vehicle to Grid (V2G) method can greatly affect the economic dispatch for all the micro energy sources in microgrid. This paper presents an optimization method for economic dispatch in microgrid considering conventional, renewable power plants, and PHEVs. The simulation results reveal that PHEVs with V2G capability can be an indispensable supplement in modern microgrid.

  7. 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

  8. EERE Success Story-Autonomie Modeling Tool Improves Vehicle Design and

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

    Testing, Informs New Fuel Economy Standards | Department of Energy Autonomie Modeling Tool Improves Vehicle Design and Testing, Informs New Fuel Economy Standards EERE Success Story-Autonomie Modeling Tool Improves Vehicle Design and Testing, Informs New Fuel Economy Standards December 21, 2015 - 9:45am Addthis Autonomie, an advanced vehicle modeling and design software package created by Argonne National laboratory with EERE support, is helping U.S. auto manufacturers develop the next

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

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

    American Honda Motor Corporation 888-CCHONDA www.honda.com CNG Dedicated EPAct Yes Civic ... E85 FFV EPAct Yes Impala Monte Carlo Sedan LEV2 3.5 L V6 17 Gal 291 mi CNG Dedicated EPAct ...

  10. Vehicle Technologies Office Merit Review 2016: ANL Vehicle Technologies Analysis Modeling Program

    Office of Energy Efficiency and Renewable Energy (EERE)

    Presentation given by Argonne National Laboratory (ANL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about Analysis

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    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:...

  12. 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...

  13. Fact #598: November 23, 2009 Hybrid Vehicle Sales by Model | Department of

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

    Energy 8: November 23, 2009 Hybrid Vehicle Sales by Model Fact #598: November 23, 2009 Hybrid Vehicle Sales by Model The number of all light vehicles sold declined about 18% from 2007 to 2008, while the number of hybrid vehicles sold declined about 11%. Five new hybrid models were sold in 2008; other than those, the only hybrid model that sold more in 2008 than in 2007 was the Nissan Altima. Despite the downturn in sales, the Toyota Prius continues to dominate hybrid sales. Hybrid Electric

  14. Vehicle Technologies Office Merit Review 2014: Model Development and Analysis of Clean & Efficient 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 model...

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    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...

  16. Fiscal Year 2015 Vehicle Technologies Program Wide Funding Opportunity Announcement Selections

    Broader source: Energy.gov [DOE]

    The list of 24 awardees given funds to develop and deploy cutting-edge vehicle technologies that will strengthen the U.S. clean energy economy. These technologies will play a key role in increasing fuel efficiency and reducing petroleum consumption, while also supporting the Energy Department’s EV Everywhere Grand Challenge to make plug-in electric vehicles as affordable to own and operate as today's gasoline-powered vehicles by 2022.

  17. Vehicle Technologies Office Merit Review 2016: BatPaC Model Development |

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

    Department of Energy BatPaC Model Development Vehicle Technologies Office Merit Review 2016: BatPaC Model Development Presentation given by Argonne National Laboratory (ANL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about Batteries es228_ahmed_2016_o_web.pdf (1.17 MB) More Documents & Publications Vehicle Technologies Office Merit Review 2015: BatPaC Model Development Vehicle Technologies Office Merit

  18. Integrated Vehicle Thermal Management Systems (VTMS) Analysis/Modeling

    Broader source: Energy.gov [DOE]

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

  19. Fact #913: February 22, 2016 The Most Common Warranty for Plug-In Vehicle Batteries is 8 Years/100,000 Miles- Dataset

    Office of Energy Efficiency and Renewable Energy (EERE)

    Excel file and dataset for The Most Common Warranty for Plug-In Vehicle Batteries is 8 Years/100,000 Miles

  20. 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...

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

    ScienceCinema (OSTI)

    Michael Wang

    2013-06-05

    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.

  2. Vehicle Technologies Program - Multi-Year Program Plan 2011-2015

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

    R&D 2.1 - 1 2.1.2 ADVANCED POWER ELECTRONICS AND ELECTRIC MOTORS R&D 2.1-14 2.2 ... vehicles: advanced batteries and power electronics & electric motors (the electric drive). ...

  3. Vehicle Technologies Office Merit Review 2016: ParaChoice Model

    Office of Energy Efficiency and Renewable Energy (EERE)

    Presentation given by Sandia National Laboratory (SNL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about Analysis

  4. Vehicle Technologies Office Merit Review 2015: Model Development and

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

    Temperature Performance of NOx Reduction Materials | Department of Energy Pacific Northwest National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about enhanced high and low temperature performance of NOx reduction materials. ace026_gao_2015_o.pdf (800.12 KB) More Documents & Publications Vehicle Technologies Office Merit Review 2014: Enhanced High and Low Temperature Performance of NOx Reduction

  5. MOBILE4. 1: Highway-vehicle mobile-source emission-factor model (Apple MacIntosh version) (for microcomputers). Model-Simulation

    SciTech Connect (OSTI)

    Not Available

    1991-08-01

    MOBILE4.1 is the latest revision to EPA's highway vehicle mobile source emission factor model. Relative to MOBILE4, it contains numerous revisions and provides the user with additional options for modeling highway vehicle emission factors. it will calculate emission factors for hydrocarbons (HC), carbon monoxide, (CO), and oxides of nitrogen (NOx) from highway motor vehicles. It calculates emission factors for eight individual vehicle types, in two regions of the country (low and high altitude). The emission factors depend on various conditions such as ambient temperature, fuel volatility, speed, and mileage accrual rates. It will estimate emission factors for any calendar year between 1960 and 2020 inclusive. The 25 most recent model years are considered in operation in each calendar year. EPA is requiring that states and others preparing emission inventories for nonattainment areas for CO and ozone to use MOBILE4.1 in the development of the base year 1990 emission inventories required under the Clean Air Act of 1990.

  6. 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...

  7. Alternative fuel vehicles for the Federal fleet: Results of the 5-year planning process. Executive Order 12759, Section 11

    SciTech Connect (OSTI)

    Not Available

    1992-08-01

    This report describes five-year plans for acquisition of alternative fuel vehicles (AFVs) by the Federal agencies. These plans will be used to encourage Original Equipment Manufacturers (OEMs) to expand the variety of AFVs produced, reduce the incremental cost of AFVs, and to encourage fuel suppliers to expand the alternative fuel infrastructure and alternative fuel availability. This effort supplements and extends the demonstration and testing of AFVs established by the Department of Energy under the alternative Motor Fuels Act of 1988.

  8. 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.

    2010-12-01

    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.

  9. 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...

  10. 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...

  11. Current Transportation Models Used in the Vehicle Technologies Program

    SciTech Connect (OSTI)

    2009-04-06

    A summary of various transportation models (VISION, TRUCK, GREET, Oil Peaking Model, Feebate Model, Oil Security Metrics Model, ORNL PHEV Choice Model: Version 1, PSAT, PSAT-PRO,

  12. Clean Cities 2011 Vehicle Buyer's Guide

    SciTech Connect (OSTI)

    Not Available

    2011-01-01

    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.

  13. Electric and Hybrid Vehicles Program. Sixteenth annual report to Congress for fiscal year 1992

    SciTech Connect (OSTI)

    Not Available

    1993-08-01

    This report describes the progress achieved in developing electric and hybrid vehicle technologies, beginning with highlights of recent accomplishments in FY 1992. Detailed descriptions are provided of program activities during FY 1992 in the areas of battery, fuel cell, and propulsion system development, and testing and evaluation of new technology in fleet site operations and in laboratories. This Annual Report also contains a status report on incentives and use of foreign components, as well as a list of publications resulting from the DOE program.

  14. Electric and Hybrid Vehicles Program. Seventeenth annual report to Congress for Fiscal Year 1993

    SciTech Connect (OSTI)

    Not Available

    1994-08-01

    This program, in cooperation with industry, is conducting research, development, testing, and evaluation activities to develop the technologies that would lead to production and introduction of low-and zero-emission electric and hybrid vehicles into the Nation`s transportation fleet. This annual report describes program activities in the areas of advanced battery, fuel cell, and propulsion systems development. Testing and evaluation of new technology in fleet site operations and laboratories are also provided. Also presented is status on incentives (CAFE, 1992 Energy Policy Act) and use of foreign components, and a listing of publications by DOE, national laboratories, and contractors.

  15. Fact #651: November 29, 2010 Hybrid Vehicles Dominate EPA's Top Ten Fuel

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

    Sippers List for 2011 | Department of Energy 1: November 29, 2010 Hybrid Vehicles Dominate EPA's Top Ten Fuel Sippers List for 2011 Fact #651: November 29, 2010 Hybrid Vehicles Dominate EPA's Top Ten Fuel Sippers List for 2011 Each year, the Environmental Protection Agency (EPA) produces a list of the top ten most fuel efficient vehicles for the model year. In past years, it was the small, lightweight vehicles that achieved the highest ratings. However, in recent years, hybrid vehicle

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

    SciTech Connect (OSTI)

    Malikopoulos, Andreas; Smith, David E

    2011-01-01

    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.

  17. Fact #823: June 2, 2014 Hybrid Vehicles use more Battery Packs but Plug-in Vehicles use More Battery Capacity

    Broader source: Energy.gov [DOE]

    Of the battery packs used for electrified vehicle powertrains in model year 2013, the greatest number went into conventional hybrid vehicles which use battery packs that average about 1.3 kilowatt...

  18. 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

    2011-07-01

    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.

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

    SciTech Connect (OSTI)

    Jehlik, Forrest; LaClair, Tim J.

    2014-04-01

    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.

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

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

    LMR-NMC Materials and Electrodes | Department of Energy electrochemical modeling of LMR-NMC materials and electrodes. es189_burrell_2014_o.pdf (2.78 MB) More Documents & Publications Examining Hysteresis in Lithium- and Manganese-Rich Composite Cathode Materials Electrochemistry Cell Model First-Principles Models of Properties of LMR-NMC Materials

  1. 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.

    2011-01-01

    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.

  2. Fact #794: August 26, 2013 How Much Does an Average Vehicle Owner Pay in Fuel Taxes Each Year?

    Broader source: Energy.gov [DOE]

    According to the Federal Highway Administration, the average fuel economy for all light vehicles on the road today is 21.4 miles per gallon (mpg). A person owning a gasoline vehicle with that fuel...

  3. MOBILE6 Vehicle Emission Modeling Software | Open Energy Information

    Open Energy Info (EERE)

    tools User Interface: Desktop Application Website: www.epa.govomsm6.htm Cost: Free References: http:www.epa.govomsm6.htm MOBILE6 is an emission factor model for...

  4. Fact #830: July 21, 2014 Diesel Light Vehicle Offerings Expand | Department

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

    of Energy 0: July 21, 2014 Diesel Light Vehicle Offerings Expand Fact #830: July 21, 2014 Diesel Light Vehicle Offerings Expand The number of diesel light vehicles offered for sale by manufacturers has grown since 2000. In model year (MY) 2000 there were only 3 diesel models offered by one manufacturer (VW), but by MY 2014 there were 21 models from seven different manufacturers. The diesel vehicles offered in 2014 are cleaner, quieter, and more efficient than the diesel light vehicles

  5. 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.

    2011-01-01

    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.

  6. Improving the behavioral realism of global integrated assessment models: An application to consumers’ vehicle choices

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

    McCollum, David L.; Wilson, Charlie; Pettifor, Hazel; Ramea, Kalai; Krey, Volker; Riahi, Keywan; Bertram, Christoph; Lin, Zhenhong; Edelenbosch, Oreane Y.; Fujisawa, Sei

    2016-05-03

    A large body of transport sector-focused research recognizes the complexity of human behavior in relation to mobility. Yet, global integrated assessment models (IAMs), which are widely used to evaluate the costs, potentials, and consequences of different greenhouse gas emission trajectories over the medium-to-long term, typically represent behavior and the end use of energy as a simple rational choice between available alternatives, even though abundant empirical evidence shows that real-world decision making is more complex and less routinely rational. This paper demonstrates the value of incorporating certain features of consumer behavior in IAMs, focusing on light-duty vehicle (LDV) purchase decisions. Anmore » innovative model formulation is developed to represent heterogeneous consumer groups with varying preferences for vehicle novelty, range, refueling/recharging availability, and variety. The formulation is then implemented in the transport module of MESSAGE-Transport, a global IAM, although it also has the generic flexibility to be applied in energy-economy models with varying set-ups. Comparison of conventional and behaviorally-realistic model runs with respect to vehicle purchase decisions shows that consumer preferences may slow down the transition to alternative fuel (low-carbon) vehicles. Consequently, stronger price-based incentives and/or non-price based measures may be needed to transform the global fleet of passenger vehicles, at least in the initial market phases of novel alternatives. Otherwise, the mitigation burden borne by other transport sub-sectors and other energy sectors could be higher than previously estimated. Moreover, capturing behavioral features of energy consumers in global IAMs increases their usefulness to policy makers by allowing a more realistic assessment of a more diverse suite of policies.« less

  7. Modeling the performance and cost of lithium-ion batteries for electric-drive vehicles.

    SciTech Connect (OSTI)

    Nelson, P. A. Gallagher, K. G. Bloom, I. Dees, D. W.

    2011-10-20

    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

  8. Model year 2010 (Gen 3) Toyota Prius level 1 testing report.

    SciTech Connect (OSTI)

    Rask, E.; Duoba, M.; Lohse-Busch, H.; Bocci, D.; Energy Systems

    2010-06-24

    As a part of the US Department of Energy's Advanced Vehicle Testing Activity (AVTA), a model year 2010 Toyota Prius (Generation 3) was procured by eTec (Phoenix, AZ) and sent to ANL's Advanced Powertrain Research Facility for the purposes of 'Level 1' testing in support of the Advanced Vehicle Testing Activity (AVTA). Data was acquired during testing using non-intrusive sensors, vehicle network connection, and facilities equipment (emissions and dynamometer data). Standard drive cycles, performance cycles, steady-state cycles and A/C usage cycles were conducted. Much of this data is openly available for download in ANL's Downloadable Dynamometer Database (D{sup 3}). The major results are shown here in this report. Given the preliminary nature of this assessment, the majority of the testing was done over standard regulatory cycles and seeks to obtain a general overview of how the vehicle performs. These cycles include the US FTP cycle (Urban) and Highway Fuel Economy Test cycle as well as the US06, a more aggressive supplemental regulatory cycle. Data collection for this testing was kept at a fairly high level and includes emissions and fuel measurements from the exhaust emissions bench, high-voltage and accessory current and voltage from a DC power analyzer, and minimal CAN bus data such as engine speed and pedal position. The following sections will seek to explain some of the basic operating characteristics of the MY2010 Prius over standard regulatory cycles.

  9. Estimating vehicle roadside encroachment frequency using accident prediction models

    SciTech Connect (OSTI)

    Miaou, S.-P.

    1996-07-01

    The existing data to support the development of roadside encroachment- based accident models are extremely limited and largely outdated. Under the sponsorship of the Federal Highway Administration and Transportation Research Board, several roadside safety projects have attempted to address this issue by providing rather comprehensive data collection plans and conducting pilot data collection efforts. It is clear from the results of these studies that the required field data collection efforts will be expensive. Furthermore, the validity of any field collected encroachment data may be questionable because of the technical difficulty to distinguish intentional from unintentional encroachments. This paper proposes an alternative method for estimating the basic roadside encroachment data without actually field collecting them. The method is developed by exploring the probabilistic relationships between a roadside encroachment event and a run-off-the-road event With some mild assumptions, the method is capable of providing a wide range of basic encroachment data from conventional accident prediction models. To illustrate the concept and use of such a method, some basic encroachment data are estimated for rural two-lane undivided roads. In addition, the estimated encroachment data are compared with the existing collected data. The illustration shows that the method described in this paper can be a viable approach to estimating basic encroachment data without actually collecting them which can be very costly.

  10. Electric and Hybrid Vehicle Program, Site Operator Program. Quarterly progress report for July through September 1994 (Fourth quarter of fiscal year 1994)

    SciTech Connect (OSTI)

    Kiser, D.M.; Brown, H.L.

    1995-03-01

    The Site Operator Program was initially established by the Department of Energy (DOE) to incorporate the electric vehicle activities dictated by the Electric and Hybrid Vehicle Research, Development and Demonstration Act of 1976. In the ensuing years, the Program has evolved in response to new legislation and interests. The Program currently includes twelve sites located in diverse geographic, metrologic, and metropolitan areas across the US. Information is shared reciprocally with a thirteenth site, not under Program contract. The vehicles are operator-owned, except for two Griffon vans. The Mission Statement of the Site Operator Program includes three major activities: advancement of electric vehicle technologies; development of infrastructure elements necessary to support significant electric vehicle use; and increasing the awareness and acceptance of electric vehicles (EVs) by the public. The current participants in the Site Operator Program are shown. The ultimate thrust of program activities varies among sites, reflecting not only the Operator`s business interests but also geographic and climate-related operating conditions. This fourth quarter report (FY-94) includes a summary of activities from the previous three quarters. The report section sequence has been revised to provide a more easily seen program overview, and specific operator activities are now found in Appendix A.

  11. Vehicle Technologies Office: Intermediate Ethanol Blends Research and Testing

    Broader source: Energy.gov [DOE]

    DOE's Vehicle Technologies Office supported work to examine the impact of intermediate ethanol blends on passenger vehicles, outdoor equipment and generator sets. Based on this research, the EPA issued waivers allowing vehicles from model year 2001 and beyond to use E15.

  12. Reconciliation of differences in the results of published shortfall analyses of 1981 model year cars

    SciTech Connect (OSTI)

    Not Available

    1983-09-06

    The failure of a vehicle to achieve its EPA mpg rating on the road is termed shortfall. Shortfall can be expressed in terms of either fuel economy (mpg) or fuel consumption (gpm). A vehicle achieving 25 mpg on the road but rated at 30 mpg in terms of the EPA 55/45 composite is said to show 16.7 percent shortfall in terms of mpg but 20 percent shortfall in terms of gpm. It can also be said that the EPA estimate overstates actual mpg performance by 20 percent. Specifically, this report has dealt with points of agreement and disagreement of GM, Ford, DOE and EPA with regard to: (1) overall shortfall, (2) mpg dependence of shortfall, (3) technology dependence of shortfall, and (4) model-year trends in shortfall. Our summary and conclusions with regard to each of these concerns are presented.

  13. 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.

    2010-11-01

    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.

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

    SciTech Connect (OSTI)

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

    2006-10-01

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

  15. Fact #797: September 16, 2013 Driving Ranges for Electric Vehicles...

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

    offered for the 2013 model year (MY). The Tesla Model S has the longest range of any EV ... These data may not directly match the vehicle manufacturer's stated range. The Tesla Model ...

  16. Fact #813: January 20, 2014 New Light Vehicle Fuel Economy Continues to Rise

    Broader source: Energy.gov [DOE]

    The sales-weighted fuel economy average of all light vehicles sold in model year (MY) 2013 was 1.6 miles per gallon (mpg) higher than MY 2011. This increase brings the new light vehicle fuel...

  17. 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.

    2009-05-01

    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.

  18. The GREET Model Expansion for Well-to-Wheels Analysis of Heavy-Duty Vehicles

    SciTech Connect (OSTI)

    Cai, Hao; Burnham, Andrew; Wang, Michael; Hang, Wen; Vyas, Anant

    2015-05-01

    Heavy-duty vehicles (HDVs) account for a significant portion of the U.S. transportation sector’s fuel consumption, greenhouse gas (GHG) emissions, and air pollutant emissions. In our most recent efforts, we expanded the Greenhouse gases, Regulated Emissions, and Energy use in Transportation (GREETTM) model to include life-cycle analysis of HDVs. In particular, the GREET expansion includes the fuel consumption, GHG emissions, and air pollutant emissions of a variety of conventional (i.e., diesel and/or gasoline) HDV types, including Class 8b combination long-haul freight trucks, Class 8b combination short-haul freight trucks, Class 8b dump trucks, Class 8a refuse trucks, Class 8a transit buses, Class 8a intercity buses, Class 6 school buses, Class 6 single-unit delivery trucks, Class 4 single-unit delivery trucks, and Class 2b heavy-duty pickup trucks and vans. These vehicle types were selected to represent the diversity in the U.S. HDV market, and specific weight classes and body types were chosen on the basis of their fuel consumption using the 2002 Vehicle Inventory and Use Survey (VIUS) database. VIUS was also used to estimate the fuel consumption and payload carried for most of the HDV types. In addition, fuel economy projections from the U.S. Energy Information Administration, transit databases, and the literature were examined. The U.S. Environmental Protection Agency’s latest Motor Vehicle Emission Simulator was employed to generate tailpipe air pollutant emissions of diesel and gasoline HDV types.

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

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

    Appending High-Resolution Elevation Data to GPS Speed Traces for Vehicle Energy Modeling and Simulation E. Wood, E. Burton, A. Duran, and J. Gonder Technical Report NREL/TP-5400-61109 June 2014 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. Contract No.

  20. 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.

    2014-06-01

    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.

  1. Vehicle Technologies Office: 2012 Vehicle and Systems Simulation...

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

    areas: modeling and simulation, component and systems evaluation, laboratory and field vehicle evaluation, codes and standards development, and heavy vehicle systems optimization. ...

  2. Vehicle Technologies Office: 2010 Vehicle and Systems Simulation...

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

    areas: modeling and simulation, component and systems evaluation, laboratory and field vehicle evaluation, codes and standards development, and heavy vehicle systems optimization. ...

  3. Vehicle Technologies Office: 2011 Vehicle and Systems Simulation...

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

    areas: modeling and simulation, component and systems evaluation, laboratory and field vehicle evaluation, codes and standards development, and heavy vehicle systems optimization. ...

  4. Application of Distribution Transformer Thermal Life Models to Electrified Vehicle Charging Loads Using Monte-Carlo Method: Preprint

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

    Application of Distribution Transformer Thermal Life Models to Electrified Vehicle Charging Loads Using Monte-Carlo Method Preprint Michael Kuss, Tony Markel, and William Kramer Presented at the 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium & Exhibition Shenzhen, China November 5 - 9, 2010 Conference Paper NREL/CP-5400-48827 January 2011 NOTICE The submitted manuscript has been offered by an employee of the Alliance for Sustainable Energy, LLC (Alliance), a contractor

  5. Property:Buildings/ModelYear | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search This is a property of type Date. Pages using the property "BuildingsModelYear" Showing 12 pages using this property. G General Merchandise 2009 TSD...

  6. Light-duty vehicle summary

    SciTech Connect (OSTI)

    Williams, L.S. ); Hu, P.S. )

    1990-07-01

    This document brings you up to date on the most recent fuel economy and market share data for the new light-duty vehicle fleet. Model year 1990 fuel economies are weighted based on the sales of the first six months of model year 1990 (from September 1989 to March 1990). Sales-weighted fuel economy of all new automobiles decreased in the first six months of model year 1990, from 28.0 mpg in model year 1989 to 27.7 mpg. The compact, midsize, and large size classes, which together claimed 75% of the new automobile market, each showed fuel economy declines of 0.4 mpg or more. Unlike automobiles, new 1990 light trucks showed an overall 0.4 mpg gain from model year 1989. This increase was primarily due to the increased fuel economy of the small van size class. In the first half of model year 1990, small van replaced small pickup as the second most popular light truck size class. Although the fuel economy of light trucks improved, the larger market share of automobiles in the light-duty vehicle market (automobiles and light trucks combined) and the decreased fuel economy in automobiles resulted in an overall reduction of 0.2 mpg for the entire light-duty vehicle fleet in the first half of model year 1990. Also, in the first half of model year 1990, light trucks claimed more than 33% of the light-duty vehicle market--a considerable increase from the 19.8% share in 1976. 9 figs., 18 tabs.

  7. Mathematical model of unmanned aerial vehicle used for endurance autonomous monitoring

    SciTech Connect (OSTI)

    Chelaru, Teodor-Viorel; Chelaru, Adrian

    2014-12-10

    The paper purpose is to present some aspects regarding the control system of unmanned aerial vehicle - UAV, used to local observations, surveillance and monitoring interest area. The calculus methodology allows a numerical simulation of UAV evolution in bad atmospheric conditions by using nonlinear model, as well as a linear one for obtaining guidance command. The UAV model which will be presented has six DOF (degrees of freedom), and autonomous control system. This theoretical development allows us to build stability matrix, command matrix and control matrix and finally to analyse the stability of autonomous UAV flight. A robust guidance system, based on uncoupled state will be evaluated for different fly conditions and the results will be presented. The flight parameters and guidance will be analysed.

  8. New Methodology for Estimating Fuel Economy by Vehicle Class

    SciTech Connect (OSTI)

    Chin, Shih-Miao; Dabbs, Kathryn; Hwang, Ho-Ling

    2011-01-01

    Office of Highway Policy Information to develop a new methodology to generate annual estimates of average fuel efficiency and number of motor vehicles registered by vehicle class for Table VM-1 of the Highway Statistics annual publication. This paper describes the new methodology developed under this effort and compares the results of the existing manual method and the new systematic approach. The methodology developed under this study takes a two-step approach. First, the preliminary fuel efficiency rates are estimated based on vehicle stock models for different classes of vehicles. Then, a reconciliation model is used to adjust the initial fuel consumption rates from the vehicle stock models and match the VMT information for each vehicle class and the reported total fuel consumption. This reconciliation model utilizes a systematic approach that produces documentable and reproducible results. The basic framework utilizes a mathematical programming formulation to minimize the deviations between the fuel economy estimates published in the previous year s Highway Statistics and the results from the vehicle stock models, subject to the constraint that fuel consumptions for different vehicle classes must sum to the total fuel consumption estimate published in Table MF-21 of the current year Highway Statistics. The results generated from this new approach provide a smoother time series for the fuel economies by vehicle class. It also utilizes the most up-to-date and best available data with sound econometric models to generate MPG estimates by vehicle class.

  9. An extended supersonic combustion model for the dynamic analysis of hypersonic vehicles. Interim Task Report

    SciTech Connect (OSTI)

    Bossard, J.A.; Peck, R.E.; Schmidt, D.K.

    1993-03-01

    The development of an advanced dynamic model for aeroelastic hypersonic vehicles powered by air breathing engines requires an adequate engine model. This report provides a discussion of some of the more important features of supersonic combustion and their relevance to the analysis and design of supersonic ramjet engines. Of particular interest are those aspects of combustion that impact the control of the process. Furthermore, the report summarizes efforts to enhance the aeropropulsive/aeroelastic dynamic model developed at the Aerospace Research Center of Arizona State University by focusing on combustion and improved modeling of this flow. The expanded supersonic combustor model described here has the capability to model the effects of friction, area change, and mass addition, in addition to the heat addition process. A comparison is made of the results from four cases: (1) heat addition only; (2) heat addition plus friction; (3) heat addition, friction, and area reduction, and (4) heat addition, friction, area reduction, and mass addition. The relative impact of these effects on the Mach number, static temperature, and static pressure distributions within the combustor are then shown. Finally, the effects of frozen versus equilibrium flow conditions within the exhaust plume is discussed.

  10. Regional forecasting with global atmospheric models; Third year report

    SciTech Connect (OSTI)

    Crowley, T.J.; North, G.R.; Smith, N.R.

    1994-05-01

    This report was prepared by the Applied Research Corporation (ARC), College Station, Texas, under subcontract to Pacific Northwest Laboratory (PNL) as part of a global climate studies task. The task supports site characterization work required for the selection of a potential high-level nuclear waste repository and is part of the Performance Assessment Scientific Support (PASS) Program at PNL. The work is under the overall direction of the Office of Civilian Radioactive Waste Management (OCRWM), US Department of Energy Headquarters, Washington, DC. The scope of the report is to present the results of the third year`s work on the atmospheric modeling part of the global climate studies task. The development testing of computer models and initial results are discussed. The appendices contain several studies that provide supporting information and guidance to the modeling work and further details on computer model development. Complete documentation of the models, including user information, will be prepared under separate reports and manuals.

  11. Computable General Equilibrium Model Fiscal Year 2013 Capability Development Report - April 2014

    SciTech Connect (OSTI)

    Edwards, Brian Keith; Rivera, Michael K.; Boero, Riccardo

    2014-04-01

    This report documents progress made on continued developments of the National Infrastructure Simulation and Analysis Center (NISAC) Computable General Equilibrium Model (NCGEM), developed in fiscal year 2012. In fiscal year 2013, NISAC the treatment of the labor market and tests performed with the model to examine the properties of the solutions computed by the model. To examine these, developers conducted a series of 20 simulations for 20 U.S. States. Each of these simulations compared an economic baseline simulation with an alternative simulation that assumed a 20-percent reduction in overall factor productivity in the manufacturing industries of each State. Differences in the simulation results between the baseline and alternative simulations capture the economic impact of the reduction in factor productivity. While not every State is affected in precisely the same way, the reduction in manufacturing industry productivity negatively affects the manufacturing industries in each State to an extent proportional to the reduction in overall factor productivity. Moreover, overall economic activity decreases when manufacturing sector productivity is reduced. Developers ran two additional simulations: (1) a version of the model for the State of Michigan, with manufacturing divided into two sub-industries (automobile and other vehicle manufacturing as one sub-industry and the rest of manufacturing as the other subindustry); and (2) a version of the model for the United States, divided into 30 industries. NISAC conducted these simulations to illustrate the flexibility of industry definitions in NCGEM and to examine the simulation properties of in more detail.

  12. Advanced Technology Vehicle Testing

    SciTech Connect (OSTI)

    James Francfort

    2003-11-01

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

  13. Modeling the Performance and Cost of Lithium-Ion Batteries for Electric-Drive Vehicles - SECOND EDITION

    SciTech Connect (OSTI)

    Nelson, Paul A.; Gallagher, Kevin G.; Bloom, Ira D.; Dees, Dennis W.

    2012-01-01

    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 publicly available model that performs a bottom-up lithium-ion battery design and cost calculation. Both the model and the report have been publicly 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

  14. Vehicle Technologies Office - AVTA: Hybrid-Electric Delivery Vehicles |

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

    Department of Energy Delivery Vehicles Vehicle Technologies Office - AVTA: Hybrid-Electric Delivery Vehicles 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 set of reports (part of the medium and

  15. Vehicle Technologies Office - AVTA: Hybrid-Electric Tractor Vehicles |

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

    Department of Energy Tractor Vehicles Vehicle Technologies Office - AVTA: Hybrid-Electric Tractor Vehicles 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 set of reports (part of the medium and

  16. Vehicle Technologies Office Merit Review 2016: Evaluation of Vehicle Technology Benefits on Real World Driving Cycles using Regional Transportation System Model

    Broader source: Energy.gov [DOE]

    Presentation given by Argonne National Laboratory (ANL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about Vehicle...

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

    SciTech Connect (OSTI)

    Not Available

    2012-03-01

    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

  18. Fact #939: August 22, 2016 All-Electric Vehicle Ranges Can Exceed Those of

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

    Some Gasoline Vehicles | Department of Energy Although most electric vehicles (EV) have shorter ranges than gasoline vehicles, there are EVs with ranges equal to or greater than some gasoline-powered models. For the 2016 model year (MY) the maximum range for an all-electric vehicle (AEV) is 294 miles while the minimum range for a gasoline model is 240 miles. Plug-in hybrid electric vehicles (PHEV) use both gasoline and electricity drawn from the grid. The all-electric range of PHEV models

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

    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 emissions...

  20. 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...

  1. 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,...

  2. Vehicle Technologies Office Merit Review 2016: CLEERS: Aftertreatment Modeling and Analysis

    Broader source: Energy.gov [DOE]

    Presentation given by Pacific Northwest National Laboratory (PNNL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting...

  3. 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...

  4. Vehicle Technologies Office Merit Review 2016: Model Development and Analysis of Clean & Efficient Engine Combustion

    Broader source: Energy.gov [DOE]

    Presentation given by Lawrence Livermore National Laboratory (LLNL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting...

  5. Vehicle Technologies Office Merit Review 2016: Modeling & Controls Software Tools to Support V2G Integration

    Broader source: Energy.gov [DOE]

    Presentation given by Lawrence Berkeley National Laboratory (LBNL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting...

  6. 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...

  7. Vehicle Technologies Office Merit Review 2014: Unified Modeling, Simulation, and Market Implications: FASTSim and ADOPT

    Broader source: Energy.gov [DOE]

    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 Meeting about the...

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    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...

  9. 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...

  10. 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...

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    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...

  12. 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,...

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    69 YEAR 2014 Males 34 Females 35 YEAR 2014 SES 5 EJEK 1 EN 05 8 EN 04 5 NN (Engineering) 27 NQ (ProfTechAdmin) 22 NU (TechAdmin Support) 1 YEAR 2014 American Indian Alaska...

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    42 YEAR 2014 Males 36 Females 6 PAY PLAN YEAR 2014 SES 2 EJEK 5 EN 05 7 EN 04 6 EN 03 1 NN (Engineering) 15 NQ (ProfTechAdmin) 6 YEAR 2014 American Indian Alaska Native Male...

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    558 YEAR 2013 Males 512 Females 46 YEAR 2013 SES 2 EJEK 2 EN 04 1 NN (Engineering) 11 NQ (ProfTechAdmin) 220 NU (TechAdmin Support) 1 NV (Nuc Mat Courier) 321 YEAR 2013...

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    11 YEAR 2012 Males 78 Females 33 YEAR 2012 SES 2 EJEK 9 EN 05 1 EN 04 33 NN (Engineering) 32 NQ (ProfTechAdmin) 31 NU (TechAdmin Support) 3 YEAR 2012 American Indian Male 2...

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    300 YEAR 2011 Males 109 Females 191 YEAR 2011 SES 9 EJEK 1 NN (Engineering) 2 NQ (ProfTechAdmin) 203 NU (TechAdmin Support) 38 NF (Future Ldrs) 47 YEAR 2011 American Indian...

  1. YEAR

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    02 YEAR 2011 Males 48 Females 54 YEAR 2011 SES 5 EJEK 1 NN (Engineering) 13 NQ (ProfTechAdmin) 80 NU (TechAdmin Support) 3 YEAR 2011 American Indian Male 0 American Indian...

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    31 YEAR 2013 Males 20 Females 11 YEAR 2013 SES 2 EN 04 4 NN (Engineering) 12 NQ (ProfTechAdmin) 12 NU (TechAdmin Support) 1 YEAR 2013 American Indian Alaska Native Male (AIAN,...

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    16 YEAR 2012 Males 84 Females 32 YEAR 2012 SES 26 EJEK 2 EN 05 9 NN (Engineering) 39 NQ (ProfTechAdmin) 30 NU (TechAdmin Support) 10 YEAR 2012 American Indian Male 0 American...

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    34 YEAR 2012 Males 66 Females 68 YEAR 2012 SES 6 NN (Engineering) 15 NQ (ProfTechAdmin) 110 NU (TechAdmin Support) 3 YEAR 2012 American Indian Male 1 American Indian Female 2...

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    86 YEAR 2012 Males 103 Females 183 YEAR 2012 SES 7 EJEK 1 NN (Engineering) 1 NQ (ProfTechAdmin) 202 NU (TechAdmin Support) 30 NF (Future Ldrs) 45 YEAR 2012 American Indian Male...

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    80 YEAR 2012 Males 51 Females 29 YEAR 2012 SES 1 EJEK 22 EN 04 21 NN (Engineering) 14 NQ (ProfTechAdmin) 21 NU (TechAdmin Support) 1 YEAR 2012 American Indian Male 0 American...

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    96 YEAR 2013 Males 69 Females 27 YEAR 2013 SES 1 EJEK 9 EN 04 27 NN (Engineering) 26 NQ (ProfTechAdmin) 30 NU (TechAdmin Support) 3 YEAR 2013 American Indian Alaska Native Male...

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    40 YEAR 2011 Males 68 Females 72 YEAR 2011 SES 5 EJEK 1 NN (Engineering) 16 NQ (ProfTechAdmin) 115 NU (TechAdmin Support) 3 YEAR 2011 American Indian Male 1 American Indian...

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    National Nuclear Security Administration (NNSA)

    00 YEAR 2012 Males 48 Females 52 YEAR 2012 SES 5 EJEK 1 NN (Engineering) 11 NQ (ProfTechAdmin) 80 NU (TechAdmin Support) 3 YEAR 2012 American Indian Male 0 American Indian...

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    National Nuclear Security Administration (NNSA)

    137 YEAR 2013 Males 90 Females 47 YEAR 2013 SES 2 SL 1 EJEK 30 EN 04 30 EN 03 2 NN (Engineering) 23 NQ (ProfTechAdmin) 45 NU (TechAdmin Support) 4 YEAR 2013 American Indian...

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    National Nuclear Security Administration (NNSA)

    of Employees 14 GENDER YEAR 2012 Males 9 Females 5 YEAR 2012 SES 2 EJEK 2 NN (Engineering) 4 NQ (ProfTechAdmin) 6 YEAR 2012 American Indian Male 0 American Indian Female 0...

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    National Nuclear Security Administration (NNSA)

    3 YEAR 2012 Males 21 Females 22 YEAR 2012 SES 3 EJEK 1 EN 03 1 NN (Engineering) 3 NQ (ProfTechAdmin) 30 NU (TechAdmin Support) 5 YEAR 2012 American Indian Male 0 American...

  17. Modeling, Simulation Design and Control of Hybrid-Electric Vehicle Drives

    SciTech Connect (OSTI)

    Giorgio Rizzoni

    2005-09-30

    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

  18. Vehicle Technologies Office

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

    David Howell Acting Director, Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting VEHICLE TECHNOLOGIES OFFICE June 8, 2015 2  Transportation is responsible for 69% of U.S. petroleum usage  28% of GHG emissions  On-Road vehicles responsible for 85% of transportation petroleum usage Oil Dependency is Dominated by Vehicles  16.4M LDVs sold in 2014  240 million light-duty vehicles on the road in the U.S.  10-15 years for annual sales penetration  10-15

  19. Table 5.6. U.S. Average Vehicle Fuel Consumption by Model Year...

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

    or More ... 620 752 698 627 491 559 573 Q Q Q 14.5 Below Poverty Line 100 Percent ... 558 Q Q Q 467 472 519 Q Q Q...

  20. Table 5.5. U.S. Vehicle Fuel Efficiency by Model Year, 1994

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

    ... 19.8 19.6 20.2 20.1 20.6 20.8 19.6 20.2 Q 11.6 3.2 Below Poverty Line 100 Percent ... 19.2 Q Q 22.7 22.4 22.0 22.4...

  1. Fact #913: February 22, 2016 The Most Common Warranty for Plug-In Vehicle

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

    Batteries is 8 Years/100,000 Miles | Department of Energy 3: February 22, 2016 The Most Common Warranty for Plug-In Vehicle Batteries is 8 Years/100,000 Miles Fact #913: February 22, 2016 The Most Common Warranty for Plug-In Vehicle Batteries is 8 Years/100,000 Miles SUBSCRIBE to the Fact of the Week For model year 2016, there are nine electric vehicles (EVs) and seven plug-in hybrid electric vehicles (PHEVs) that have battery warranties of 8 years/100,000 miles. Tesla warranties are also

  2. 2012 Fuel Economy of New Vehicles Sets Record High: EPA

    Broader source: Energy.gov [DOE]

    The U.S. Environmental Protection Agency (EPA) reported that model year 2012 vehicles achieved an all-time high fuel economy average of 23.6 miles per gallon.

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    Males 139 Females 88 YEAR 2012 SES 13 EX 1 EJEK 8 EN 05 23 EN 04 20 EN 03 2 NN (Engineering) 91 NQ (ProfTechAdmin) 62 NU (TechAdmin Support) 7 YEAR 2012 American Indian...

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    National Nuclear Security Administration (NNSA)

    26 YEAR 2014 Males 81 Females 45 PAY PLAN YEAR 2014 SES 1 SL1 EJEK 25 EN 04 26 EN 03 2 NN (Engineering) 23 NQ (ProfTechAdmin) 44 NU (TechAdmin Support) 4 YEAR 2014 American ...

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    National Nuclear Security Administration (NNSA)

    563 YEAR 2012 Males 518 Females 45 YEAR 2012 SES 1 EJEK 2 EN 04 1 EN 03 1 NN (Engineering) 12 NQ (ProfTechAdmin) 209 NU (TechAdmin Support) 2 NV (Nuc Mat Courier) 335 YEAR 2012...

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    National Nuclear Security Administration (NNSA)

    7 YEAR 2012 Males 64 Females 33 YEAR 2012 SES 2 EJEK 3 EN 05 1 EN 04 30 EN 03 1 NN (Engineering) 26 NQ (ProfTechAdmin) 32 NU (TechAdmin Support) 2 YEAR 2012 American Indian...

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    National Nuclear Security Administration (NNSA)

    4 YEAR 2012 Males 37 Females 7 YEAR 2012 SES 1 EJEK 6 EN 05 5 EN 04 7 EN 03 1 NN (Engineering) 17 NQ (ProfTechAdmin) 6 NU (TechAdmin Support) 1 YEAR 2012 American Indian Male 2...

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    National Nuclear Security Administration (NNSA)

    7 YEAR 2011 Males 38 Females 9 YEAR 2011 SES 1 EJEK 6 EN 05 5 EN 04 7 EN 03 1 NN (Engineering) 19 NQ (ProfTechAdmin) 7 NU (TechAdmin Support) 1 YEAR 2011 American Indian Male 2...

  9. YEAR

    National Nuclear Security Administration (NNSA)

    8 YEAR 2013 Males 62 Females 26 YEAR 2013 SES 1 EJEK 3 EN 05 1 EN 04 28 EN 03 1 NN (Engineering) 25 NQ (ProfTechAdmin) 27 NU (TechAdmin Support) 2 YEAR 2013 American Indian...

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    National Nuclear Security Administration (NNSA)

    6 YEAR 2012 Males 64 Females 32 YEAR 2012 SES 1 EJEK 5 EN 05 3 EN 04 23 EN 03 9 NN (Engineering) 18 NQ (ProfTechAdmin) 33 NU (TechAdmin Support) 4 YEAR 2012 American Indian...

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    National Nuclear Security Administration (NNSA)

    5 YEAR 2013 Males 58 Females 27 YEAR 2013 SES 1 EJEK 4 EN 05 3 EN 04 21 EN 03 8 NN (Engineering) 16 NQ (ProfTechAdmin) 28 NU (TechAdmin Support) 4 YEAR 2013 American Indian...

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    National Nuclear Security Administration (NNSA)

    78 YEAR 2012 Males 57 Females 21 YEAR 2012 SES 2 SL 1 EJEK 12 EN 04 21 EN 03 2 NN (Engineering) 12 NQ (ProfTechAdmin) 24 NU (TechAdmin Support) 4 YEAR 2012 American Indian Male...

  13. 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...

  14. Quantifying EV battery end-of-life through analysis of travel needs with vehicle powertrain models

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

    Saxena, Samveg; Le Floch, Caroline; MacDonald, Jason; Moura, Scott

    2015-05-15

    Electric vehicles enable clean and efficient transportation; however, concerns about range anxiety and battery degradation hinder EV adoption. The common definition for battery end-of-life is when 70-80% of original energy capacity remain;, however, little analysis is available to support this retirement threshold. By applying detailed physics-based models of EVs with data on how drivers use their cars, we show that EV batteries continue to meet daily travel needs of drivers well beyond capacity fade of 80% remaining energy storage capacity. Further, we show that EV batteries with substantial energy capacity fade continue to provide sufficient buffer charge for unexpected tripsmore » with long distances. We show that enabling charging in more locations, even if only with 120 V wall outlets, prolongs useful life of EV batteries. Battery power fade is also examined and we show EVs meet performance requirements even down to 30% remaining power capacity. Our findings show that defining battery retirement at 70-80% remaining capacity is inaccurate. Battery retirement should instead be governed by when batteries no longer satisfy daily travel needs of a driver. Using this alternative retirement metric, we present results on the fraction of EV batteries that may be retired with different levels of energy capacity fade.« less

  15. 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

    2010-03-31

    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.

  16. Quantifying EV battery end-of-life through analysis of travel needs with vehicle powertrain models

    SciTech Connect (OSTI)

    Saxena, Samveg; Le Floch, Caroline; MacDonald, Jason; Moura, Scott

    2015-05-15

    Electric vehicles enable clean and efficient transportation; however, concerns about range anxiety and battery degradation hinder EV adoption. The common definition for battery end-of-life is when 70-80% of original energy capacity remain;, however, little analysis is available to support this retirement threshold. By applying detailed physics-based models of EVs with data on how drivers use their cars, we show that EV batteries continue to meet daily travel needs of drivers well beyond capacity fade of 80% remaining energy storage capacity. Further, we show that EV batteries with substantial energy capacity fade continue to provide sufficient buffer charge for unexpected trips with long distances. We show that enabling charging in more locations, even if only with 120 V wall outlets, prolongs useful life of EV batteries. Battery power fade is also examined and we show EVs meet performance requirements even down to 30% remaining power capacity. Our findings show that defining battery retirement at 70-80% remaining capacity is inaccurate. Battery retirement should instead be governed by when batteries no longer satisfy daily travel needs of a driver. Using this alternative retirement metric, we present results on the fraction of EV batteries that may be retired with different levels of energy capacity fade.

  17. Vehicle Technologies Office Merit Review 2016: Cell Analysis, Modeling, and Prototyping (CAMP) Facility Research Activities

    Broader source: Energy.gov [DOE]

    Presentation given by Argonne National Laboratory (ANL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about Batteries

  18. Vehicle Technologies Office Merit Review 2014: CLEERS: Aftertreatment Modeling and Analysis

    Broader source: Energy.gov [DOE]

    Presentation given by Pacific Northwest National Lab at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about CLEERS, a R...

  19. 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...

  20. 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...

  1. HyDIVE (Hydrogen Dynamic Infrastructure and Vehicle Evolution) Model Analysis

    Broader source: Energy.gov [DOE]

    Presentation by NREL's Cory Welch at the 2010 - 2025 Scenario Analysis for Hydrogen Fuel Cell Vehicles and Infrastructure Meeting on August 9 - 10, 2006 in Washington, D.C.

  2. Vehicle Technologies Office Merit Review 2016: Transportation Energy Evolution Modeling (TEEM) Program

    Office of Energy Efficiency and Renewable Energy (EERE)

    Presentation given by Oak Ridge National Laboratory (ORNL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about...

  3. YEAR

    National Nuclear Security Administration (NNSA)

    2012 Males 149 Females 115 YEAR 2012 SES 17 EX 1 EJEK 7 EN 05 2 EN 04 9 EN 03 2 NN (Engineering) 56 NQ (ProfTechAdmin) 165 NU (TechAdmin Support) 4 GS 13 1 YEAR 2012 American...

  4. Vehicle Technologies Office: 2010 Vehicle and Systems Simulation and

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

    Testing R&D Annual Progress Report | Department of Energy Vehicle and Systems Simulation and Testing R&D Annual Progress Report Vehicle Technologies Office: 2010 Vehicle and Systems Simulation and Testing R&D Annual Progress Report 2010 annual report focusing on five main areas: modeling and simulation, component and systems evaluation, laboratory and field vehicle evaluation, codes and standards development, and heavy vehicle systems optimization. 2010_vsst_report.pdf (25.23 MB)

  5. Vehicle Technologies Office: 2012 Vehicle and Systems Simulation and

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

    Testing R&D Annual Progress Report | Department of Energy Vehicle and Systems Simulation and Testing R&D Annual Progress Report Vehicle Technologies Office: 2012 Vehicle and Systems Simulation and Testing R&D Annual Progress Report FY 2012 annual report focusing on five main areas: modeling and simulation, component and systems evaluation, laboratory and field vehicle evaluation, codes and standards development, and heavy vehicle systems optimization. 2012_vsst_report.pdf (32.4

  6. Vehicle Technologies Office: 2013 Vehicle and Systems Simulation and

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

    Testing R&D Annual Progress Report | Department of Energy Vehicle and Systems Simulation and Testing R&D Annual Progress Report Vehicle Technologies Office: 2013 Vehicle and Systems Simulation and Testing R&D Annual Progress Report FY 2013 annual report focuses on the following areas: vehicle modeling and simulation, component and systems evaluations, laboratory and field evaluations, codes and standards, industry projects, and vehicle systems optimization. 2013_vsst_report.pdf

  7. Analyzing the Sensitivity of Hydrogen Vehicle Sales to Consumers' Preferences

    SciTech Connect (OSTI)

    Greene, David L; Lin, Zhenhong; Dong, Jing

    2013-01-01

    The success of hydrogen vehicles will depend on consumer behavior as well as technology, energy prices and public policy. This study examines the sensitivity of the future market shares of hydrogen-powered vehicles to alternative assumptions about consumers preferences. The Market Acceptance of Advanced Automotive Technologies model was used to project future market shares. The model has 1,458 market segments, differentiated by travel behavior, geography, and tolerance to risk, among other factors, and it estimates market shares for twenty advanced power-train technologies. The market potential of hydrogen vehicles is most sensitive to the improvement of drive train technology, especially cost reduction. The long-run market success of hydrogen vehicles is less sensitive to the price elasticity of vehicle choice, how consumers evaluate future fuel costs, the importance of fuel availability and limited driving range. The importance of these factors will likely be greater in the early years following initial commercialization of hydrogen vehicles.

  8. YEAR

    National Nuclear Security Administration (NNSA)

    5 YEAR 2014 Males 61 Females 24 PAY PLAN YEAR 2014 SES 1 EJ/EK 8 EN 04 22 NN (Engineering) 23 NQ (Prof/Tech/Admin) 28 NU (Tech/Admin Support) 3 YEAR 2014 American Indian Alaska Native Male (AIAN M) 2 American Indian Alaskan Native Female (AIAN F) 3 African American Male (AA M) 0 African American Female (AA F) 0 Asian American Pacific Islander Male (AAPI M) 3 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 13 Hispanic Female (H F) 10 White Male (W M) 43 White Female (W F) 11

  9. YEAR

    National Nuclear Security Administration (NNSA)

    2 YEAR 2014 Males 57 Females 25 PAY PLAN YEAR 2014 SES 3 EJ/EK 4 EN 04 2 NN (Engineering) 20 NQ (Prof/Tech/Admin) 53 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 0 African American Male (AA M) 9 African American Female (AA F) 9 Asian American Pacific Islander Male (AAPI M) 2 Asian American Pacific Islander Female (AAPI F) 1 Hispanic Male (H M) 3 Hispanic Female (H F) 5 White Male (W M) 43 White Female (W F) 10 DIVERSITY TOTAL WORKFORCE

  10. YEAR

    National Nuclear Security Administration (NNSA)

    93 YEAR 2014 Males 50 Females 43 PAY PLAN YEAR 2014 EJ/EK 3 NN (Engineering) 13 NQ (Prof/Tech/Admin) 74 NU (Tech/Admin Support) 3 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 2 African American Male (AA M) 5 African American Female (AA F) 6 Asian American Pacific Islander Male (AAPI M) 0 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 6 Hispanic Female (H F) 14 White Male (W M) 39 White Female (W F) 21 DIVERSITY

  11. YEAR

    National Nuclear Security Administration (NNSA)

    YEAR 2014 Males 11 Females 2 PAY PLAN YEAR 2014 SES 2 EJ/EK 1 EN 04 1 NN (Engineering) 5 NQ (Prof/Tech/Admin) 4 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 0 African American Male (AA M) 0 African American Female (AA F) 0 Asian American Pacific Islander Male (AAPI M) 1 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 0 Hispanic Female (H F) 0 White Male (W M) 10 White Female (W F) 2 DIVERSITY TOTAL WORKFORCE GENDER

  12. YEAR

    National Nuclear Security Administration (NNSA)

    9 YEAR 2014 Males 9 Females 10 YEAR 2014 SES 7 ED 1 EJ/EK 1 EN 05 1 NQ (Prof/Tech/Admin) 8 NU (Tech/Admin Support) 1 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 1 African American Female (AA F) 5 Asian American Pacific Islander Male (AAPI M) 1 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 0 Hispanic Female (H F) 3 White Male (W M) 7 White Female (W F) 1 PAY PLAN DIVERSITY TOTAL

  13. YEAR

    National Nuclear Security Administration (NNSA)

    5 YEAR 2014 Males 92 Females 43 YEAR 2014 SES 8 EX 1 EJ/EK 4 EN 05 9 EN 04 12 EN 03 2 NN (Engineering) 57 NQ (Prof/Tech/Admin) 42 YEAR 2014 American Indian Alaska Native Male (AIAN M) 1 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 9 African American Female (AA F) 11 Asian American Pacific Islander Male (AAPI M) 4 Asian American Pacific Islander Female (AAPI F) 2 Hispanic Male (H M) 12 Hispanic Female (H F) 7 White Male (W M) 66 White Female (W F) 22 PAY PLAN

  14. YEAR

    National Nuclear Security Administration (NNSA)

    563 YEAR 2014 Males 517 Females 46 PAY PLAN YEAR 2014 SES 2 EJ/EK 2 EN 04 1 NN (Engineering) 11 NQ (Prof/Tech/Admin) 218 NU (Tech/Admin Support) 2 NV (Nuc Mat Courier) 327 YEAR 2014 American Indian Alaska Native Male (AIAN M) 14 American Indian Alaskan Native Female (AIAN F) 2 African American Male (AA M) 18 African American Female (AA F) 1 Asian American Pacific Islander Male (AAPI M) 8 Asian American Pacific Islander Female (AAPI F) 2 Hispanic Male (H M) 76 Hispanic Female (H F) 21 White Male

  15. YEAR

    National Nuclear Security Administration (NNSA)

    89 YEAR 2014 Males 98 Females 91 PAY PLAN YEAR 2014 SES 14 EX 1 EJ/EK 3 EN 05 1 EN 04 4 EN 03 1 NN (Engineering) 32 NQ (Prof/Tech/Admin) 130 NU (Tech/Admin Support) 2 GS 15 1 YEAR 2014 American Indian Alaska Native Male (AIAN M) 1 American Indian Alaskan Native Female (AIAN F) 0 African American Male (AA M) 5 African American Female (AA F) 14 Asian American Pacific Islander Male (AAPI M) 3 Asian American Pacific Islander Female (AAPI F) 7 Hispanic Male (H M) 7 Hispanic Female (H F) 10 White Male

  16. YEAR

    National Nuclear Security Administration (NNSA)

    3 YEAR 2014 Males 162 Females 81 PAY PLAN YEAR 2014 SES 26 EJ/EK 3 EN 05 7 NN (Engineering) 77 NQ (Prof/Tech/Admin) 108 NU (Tech/Admin Support) 22 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 5 African American Female (AA F) 9 Asian American Pacific Islander Male (AAPI M) 1 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 2 Hispanic Female (H F) 0 White Male (W M) 154 White Female (W F)

  17. YEAR

    National Nuclear Security Administration (NNSA)

    74 YEAR 2014 Males 96 Females 78 PAY PLAN YEAR 2014 SES 8 EJ/EK 4 EN 04 11 EN 03 1 NN (Engineering) 34 NQ (Prof/Tech/Admin) 113 NU (Tech/Admin Support) 3 YEAR 2014 American Indian Alaska Native Male (AIAN M) 2 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 3 African American Female (AA F) 11 Asian American Pacific Islander Male (AAPI M) 5 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 25 Hispanic Female (H F) 25 White Male (W M) 61 White

  18. YEAR

    National Nuclear Security Administration (NNSA)

    4 YEAR 2014 Males 7 Females 7 PAY PLAN YEAR 2014 SES 1 NQ (Prof/Tech/Admin) 7 GS 15 1 GS 14 2 GS 13 2 GS 10 1 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 0 African American Male (AA M) 3 African American Female (AA F) 2 Asian American Pacific Islander Male (AAPI M) 0 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 0 Hispanic Female (H F) 0 White Male (W M) 4 White Female (W F) 5 DIVERSITY TOTAL WORKFORCE GENDER

  19. YEAR

    National Nuclear Security Administration (NNSA)

    16 YEAR 2014 Males 72 Females 144 PAY PLAN YEAR 2014 SES 8 EJ/EK 1 NQ (Prof/Tech/Admin) 198 NU (Tech/Admin Support) 9 YEAR 2014 American Indian Alaska Native Male (AIAN M) 2 American Indian Alaskan Native Female (AIAN F) 2 African American Male (AA M) 10 African American Female (AA F) 38 Asian American Pacific Islander Male (AAPI M) 1 Asian American Pacific Islander Female (AAPI F) 3 Hispanic Male (H M) 15 Hispanic Female (H F) 33 White Male (W M) 44 White Female (W F) 68 DIVERSITY TOTAL

  20. YEAR

    National Nuclear Security Administration (NNSA)

    26 YEAR 2014 Males 81 Females 45 PAY PLAN YEAR 2014 SES 1 SL 1 EJ/EK 25 EN 04 26 EN 03 2 NN (Engineering) 23 NQ (Prof/Tech/Admin) 44 NU (Tech/Admin Support) 4 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 3 African American Female (AA F) 7 Asian American Pacific Islander Male (AAPI M) 4 Asian American Pacific Islander Female (AAPI F) 1 Hispanic Male (H M) 6 Hispanic Female (H F) 6 White Male (W M) 68 White

  1. YEAR

    National Nuclear Security Administration (NNSA)

    446 YEAR 2014 Males 1626 Females 820 YEAR 2014 SES 97 EX 2 ED 1 SL 1 EJ/EK 84 EN 05 38 EN 04 162 EN 03 18 NN (Engineering) 427 NQ (Prof/Tech/Admin) 1216 NU (Tech/Admin Support) 66 NV (Nuc Mat Courier) 327 GS 15 2 GS 14 2 GS 13 2 GS 10 1 YEAR 2014 American Indian Alaska Native Male (AIAN M) 27 American Indian Alaskan Native Female (AIAN F) 24 African American Male (AA M) 90 African American Female (AA F) 141 Asian American Pacific Islander Male (AAPI M) 63 Asian American Pacific Islander Female

  2. YEAR

    National Nuclear Security Administration (NNSA)

    1 YEAR 2014 Males 48 Females 33 PAY PLAN YEAR 2014 SES 1 EJ/EK 8 EN 04 10 EN 03 1 NN (Engineering) 27 NQ (Prof/Tech/Admin) 29 NU (Tech/Admin Support) 5 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 3 African American Male (AA M) 0 African American Female (AA F) 2 Asian American Pacific Islander Male (AAPI M) 2 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 12 Hispanic Female (H F) 12 White Male (W M) 34 White Female

  3. YEAR

    National Nuclear Security Administration (NNSA)

    8 YEAR 2014 Males 18 Females 10 PAY PLAN YEAR 2014 SES 1 EN 05 1 EN 04 4 NN (Engineering) 12 NQ (Prof/Tech/Admin) 9 NU (Tech/Admin Support) 1 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 4 African American Female (AA F) 4 Asian American Pacific Islander Male (AAPI M) 1 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 0 Hispanic Female (H F) 0 White Male (W M) 13 White Female (W F) 5

  4. YEAR

    National Nuclear Security Administration (NNSA)

    8 YEAR 2014 Males 18 Females 20 PAY PLAN YEAR 2014 SES 3 EJ/EK 1 EN 03 1 NN (Engineering) 3 NQ (Prof/Tech/Admin) 28 NU (Tech/Admin Support) 2 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 0 African American Male (AA M) 1 African American Female (AA F) 1 Asian American Pacific Islander Male (AAPI M) 0 Asian American Pacific Islander Female (AAPI F) 1 Hispanic Male (H M) 4 Hispanic Female (H F) 7 White Male (W M) 13 White Female (W F) 11

  5. YEAR

    National Nuclear Security Administration (NNSA)

    White Male (W M) 26 White Female (W F) 16 DIVERSITY TOTAL WORKFORCE GENDER Livermore Field ... YEARS OF FEDERAL SERVICE SUPERVISOR RATIO AGE Livermore Field Office As of March 22, 2014 ...

  6. Vehicle Technologies Office: Events | Department of Energy

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

    Vehicle Technologies Office: Events Vehicle Technologies Office: Events The Vehicle Technologies Office holds a number of events to advance research, development and deployment of vehicles that can reduce the use of petroleum in transportation. The Vehicle Technologies Office holds an Annual Merit Review and Peer Evaluation each year, where advanced vehicle technologies projects funded by VTO are presented and reviewed for their merit. The Merit Review presentations and reports from past years

  7. Utah Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Utah Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

  8. YEAR

    National Nuclear Security Administration (NNSA)

    25 Females 10 YEAR 2014 SES 1 EN 04 11 NN (Engineering) 8 NQ (Prof/Tech/Admin) 13 NU (Tech/Admin Support) 2 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 1 African American Female (AA F) 3 Asian American Pacific Islander Male (AAPI M) 0 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 0 Hispanic Female (H F) 0 White Male (W M) 24 White Female (W F) 6 TOTAL WORKFORCE GENDER Kansas City

  9. YEAR

    National Nuclear Security Administration (NNSA)

    9 Females 24 PAY PLAN YEAR 2014 SES 1 EJ/EK 4 EN 05 3 EN 04 22 EN 03 8 NN (Engineering) 15 NQ (Prof/Tech/Admin) 27 NU (Tech/Admin Support) 3 YEAR 2014 American Indian Alaska Native Male (AIAN M) 2 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 5 African American Female (AA F) 2 Asian American Pacific Islander Male (AAPI M) 21 Asian American Pacific Islander Female (AAPI F) 2 Hispanic Male (H M) 5 Hispanic Female (H F) 3 White Male (W M) 26 White Female (W F) 16

  10. YEAR

    National Nuclear Security Administration (NNSA)

    17 Females 18 PAY PLAN YEAR 2014 SES 1 EJ/EK 3 NQ (Prof/Tech/Admin) 30 NU (Tech/Admin Support) 1 YEAR 2014 American Indian Alaska Native Male (AIAN M) 1 American Indian Alaskan Native Female (AIAN F) 2 African American Male (AA M) 3 African American Female (AA F) 7 Asian American Pacific Islander Male (AAPI M) 1 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 2 Hispanic Female (H F) 6 White Male (W M) 10 White Female (W F) 3 DIVERSITY TOTAL WORKFORCE GENDER Associate