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


1

Key Assumptions Policy Issues  

E-Print Network [OSTI]

11/13/2014 1 Key Assumptions and Policy Issues RAAC Steering Committee November 17, 2014 Portland Supply Limitations 8 Withi h B l i8. Within-hour Balancing 9. Capacity and Energy Values for Wind/Solar t b it d d li d· Thermal: must be sited and licensed · Wind/solar: must be sited and licensed · EE

2

Overview of Light-Duty Vehicle Studies  

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

Overview of Light-Duty Vehicle Studies Overview of Light-Duty Vehicle Studies Washington, DC Workshop Sponsored by EERE Transportation Cluster July 26, 2010 Energy Efficiency & Renewable Energy eere.energy.gov 2 * This workshop is intended to be a working meeting for analysts to discuss findings and assumptions because a number of key studies on light-duty vehicles (LDVs) and biofuels have been completed in the past 5 years and the insight gained from their findings would be valuable. * Outcomes: - common understanding of the effects of differing assumptions (today); - agreement on standard assumptions for future studies, where applicable (agreement on some assumptions today, follow-up discussions/meeting may be needed for others); - list of data/information gaps and needed research and studies (a

3

Light Duty Combustion Research: Advanced Light-Duty Combustion...  

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

Light Duty Combustion Research: Advanced Light-Duty Combustion Experiments Light Duty Combustion Research: Advanced Light-Duty Combustion Experiments 2009 DOE Hydrogen Program and...

4

DOE Light Duty Vehicle Workshop  

Broader source: Energy.gov [DOE]

On July 26, 2010, the U.S. Department of Energy (DOE) sponsored a Light Duty Vehicle Workshop in Washington, D.C. Presentations from this workshop appear below as Adobe Acrobat PDFs.

5

Light Duty Vehicle Pathways | Department of Energy  

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

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

6

Fuel Cell Technologies Office: DOE Light Duty Vehicle Workshop  

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

Light Duty Vehicle Light Duty Vehicle Workshop to someone by E-mail Share Fuel Cell Technologies Office: DOE Light Duty Vehicle Workshop on Facebook Tweet about Fuel Cell Technologies Office: DOE Light Duty Vehicle Workshop on Twitter Bookmark Fuel Cell Technologies Office: DOE Light Duty Vehicle Workshop on Google Bookmark Fuel Cell Technologies Office: DOE Light Duty Vehicle Workshop on Delicious Rank Fuel Cell Technologies Office: DOE Light Duty Vehicle Workshop on Digg Find More places to share Fuel Cell Technologies Office: DOE Light Duty Vehicle Workshop on AddThis.com... Publications Program Publications Technical Publications Educational Publications Newsletter Program Presentations Multimedia Conferences & Meetings Annual Merit Review Proceedings Workshop & Meeting Proceedings

7

Technical Challenges and Opportunities Light-Duty Diesel Engines...  

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

Challenges and Opportunities Light-Duty Diesel Engines in North America Technical Challenges and Opportunities Light-Duty Diesel Engines in North America 2005 Diesel Engine...

8

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

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

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

9

Light Duty Fuel Cell Electric Vehicle Hydrogen Fueling Protocol...  

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

Light Duty Fuel Cell Electric Vehicle Hydrogen Fueling Protocol Light Duty Fuel Cell Electric Vehicle Hydrogen Fueling Protocol Download the webinar slides from the U.S. Department...

10

Light-Duty Diesel Combustion | Department of Energy  

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

Light-Duty Diesel Combustion Light-Duty Diesel Combustion 2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting...

11

Light Duty Efficient Clean Combustion | Department of Energy  

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

Light Duty Efficient Clean Combustion Light Duty Efficient Clean Combustion 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation...

12

Business Case for Light-Duty Diesels | Department of Energy  

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

Business Case for Light-Duty Diesels Business Case for Light-Duty Diesels 2005 Diesel Engine Emissions Reduction (DEER) Conference Presentations and Posters 2005deergodwin.pdf...

13

alternative fuel light-duty vehicles  

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

Fuel Light-Duty Vehicles Fuel Light-Duty Vehicles T O F E N E R G Y D E P A R T M E N U E N I T E D S T A T S O F A E R I C A M SUMMARY OF RESULTS FROM THE NATIONAL RENEWABLE ENERGY LABORATORY'S VEHICLE EVALUATION DATA COLLECTION EFFORTS Alternative Fuel Light-Duty Vehicles SUMMARY OF RESULTS FROM THE NATIONAL RENEWABLE ENERGY LABORATORY'S VEHICLE EVALUATION DATA COLLECTION EFFORTS PEG WHALEN KENNETH KELLY ROB MOTTA JOHN BRODERICK MAY 1996 N T Y A U E O F E N E R G D E P A R T M E N I T E D S T A T S O F A E R I C M Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .2 Light-Duty Vehicles in the Program . . . . . . . . . . . . . . . . . . . . . . . . . . . .2

14

Advanced Technology Light Duty Diesel Aftertreatment System  

Broader source: Energy.gov [DOE]

Light duty diesel aftertreatment system consisting of a DOC and selective catalytic reduction catalyst on filter (SCRF), close coupled to the engine with direct gaseous ammonia delivery is designed to reduce cold start NOx and HC emissions

15

Technology Development for Light Duty High Efficient Diesel Engines  

Broader source: Energy.gov [DOE]

Improve the efficiency of diesel engines for light duty applications through technical advances in system optimization.

16

Alternative Fuels Data Center: Light-Duty Vehicle Search  

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

Light-Duty Vehicle Light-Duty Vehicle Search to someone by E-mail Share Alternative Fuels Data Center: Light-Duty Vehicle Search on Facebook Tweet about Alternative Fuels Data Center: Light-Duty Vehicle Search on Twitter Bookmark Alternative Fuels Data Center: Light-Duty Vehicle Search on Google Bookmark Alternative Fuels Data Center: Light-Duty Vehicle Search on Delicious Rank Alternative Fuels Data Center: Light-Duty Vehicle Search on Digg Find More places to share Alternative Fuels Data Center: Light-Duty Vehicle Search on AddThis.com... Light-Duty Vehicle Search Search our light-duty alternative fuel vehicle database to find and compare alternative fuel vehicles and generate printable reports to aid in decision-making. These vehicles might not qualify for vehicle-acquisition

17

Advanced Vehicle Testing Activity: Light-Duty Vehicles  

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

Light-Duty Light-Duty Vehicles to someone by E-mail Share Advanced Vehicle Testing Activity: Light-Duty Vehicles on Facebook Tweet about Advanced Vehicle Testing Activity: Light-Duty Vehicles on Twitter Bookmark Advanced Vehicle Testing Activity: Light-Duty Vehicles on Google Bookmark Advanced Vehicle Testing Activity: Light-Duty Vehicles on Delicious Rank Advanced Vehicle Testing Activity: Light-Duty Vehicles on Digg Find More places to share Advanced Vehicle Testing Activity: Light-Duty Vehicles on AddThis.com... Home Overview Light-Duty Vehicles Alternative Fuel Vehicles Plug-in Hybrid Electric Vehicles Hybrid Electric Vehicles Micro Hybrid Vehicles ARRA Vehicle and Infrastructure Projects EVSE Testing Energy Storage Testing Hydrogen Internal Combustion Engine Vehicles Other ICE

18

Light duty utility arm startup plan  

SciTech Connect (OSTI)

This plan details the methods and procedures necessary to ensure a safe transition in the operation of the Light Duty Utility Arm (LDUA) System. The steps identified here outline the work scope and identify responsibilities to complete startup, and turnover of the LDUA to Characterization Project Operations (CPO).

Barnes, G.A.

1998-09-01T23:59:59.000Z

19

Cummins Work Toward Successful Introduction of Light-Duty Clean...  

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

Cummins Work Toward Successful Introduction of Light-Duty Clean Diesel Engines in US Cummins Work Toward Successful Introduction of Light-Duty Clean Diesel Engines in US 2005...

20

Overview of Light-Duty Vehicle Studies | Department of Energy  

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

Studies Overview of Light-Duty Vehicle Studies Presented at the U.S. Department of Energy Light Duty Vehicle Workshop in Washington, D.C. on July 26, 2010. ldvpathways.pdf...

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


21

Light-Duty Advanced Diesel Combustion Research | Department of...  

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

Light-Duty Advanced Diesel Combustion Research Light-Duty Advanced Diesel Combustion Research Presentation from the U.S. DOE Office of Vehicle Technologies "Mega" Merit Review 2008...

22

Ricardo's ACTION Strategy: An Enabling Light Duty Diesel Technology...  

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

US Market 2005 Diesel Engine Emissions Reduction (DEER) Conference Presentations and Posters 2005deergreaney.pdf More Documents & Publications Light-Duty Diesel...

23

Light Duty Diesels in the United States - Some Perspectives ...  

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

Emission Control Technology Review Update on Diesel Exhaust Emission Control Technology and Regulations Light Duty Diesels in the United States - Some Perspectives...

24

Ricardo's ACTION Strategy: An Enabling Light Duty Diesel Technology...  

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

light duty diesel solutions for the US market Technology Strategy Lowest system cost Engine technology selection Aftertreatment technology selection Control approach & OBD...

25

Mixture Formation in a Light-Duty Diesel Engine  

Broader source: Energy.gov [DOE]

Presents quantitative measurements of evolution of in-cylinder equivalence ratio distributions in a light-duty engine where wall interactions and strong swirl are significant

26

Thermoelectric Opportunities in Light-Duty Vehicles | Department...  

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

Light-Duty Vehicles Overview of thermoelectric (TE) vehicle exhaust heat recovery, TE HVAC systems, and OEM role in establishing guidelines for cost, power density, systems...

27

Light-Duty Lean GDI Vehicle Technology Benchmark  

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

M. Wagner (PI) Paul H. Chambon (Presenter) Oak Ridge National Laboratory Light-Duty Lean GDI Vehicle Technology Benchmark This presentation does not contain any proprietary,...

28

Technology Development for Light Duty High Efficient Diesel Engines...  

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

optimization. deer09stanton.pdf More Documents & Publications Light Duty Efficient Clean Combustion Advanced Diesel Engine Technology Development for HECC Effects of Biomass Fuels...

29

Light Duty Efficient Clean Combustion | Department of Energy  

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

25, 2008 in Bethesda, Maryland. merit08frazier.pdf More Documents & Publications Light Duty Efficient Clean Combustion Exhaust Energy Recovery: 2008 Semi-Mega Merit Review...

30

Fueling U.S. Light Duty Diesel Vehicles  

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

U.S. Light Duty Diesel Vehicles DEER Conference August 23, 2005 Joe Kaufman Manager, Fuel & Vehicle Trends ConocoPhillips NYSE: COP Core Activities * Petroleum & natural gas...

31

Fuel Cell Technologies Office: DOE Light Duty Vehicle Workshop  

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

Light Duty Vehicle Workshop Light Duty Vehicle Workshop On July 26, 2010, the U.S. Department of Energy (DOE) sponsored a Light Duty Vehicle Workshop in Washington, D.C. Presentations from this workshop appear below as Adobe Acrobat PDFs. Download Adobe Reader. Presentations Overview of Light-Duty Vehicle Studies (PDF 562 KB), Sam Baldwin, Chief Technology Officer, Office of Energy Efficiency and Renewable Energy (EERE), DOE Light Duty Vehicle Pathways (PDF 404 KB), Tien Nguyen, Fuel Cell Technologies Office, EERE, DOE Hydrogen Transition Study (PDF 2.6 MB), Paul N. Leiby, David Greene, Zhenhong Lin, David Bowman, and Sujit Das, Oak Ridge National Laboratory Alternative Transportation Technologies: Hydrogen, Biofuels, Advanced Efficiency, and Plug-in Hybrid Electric Vehicles (PDF 123 KB), Joan Ogden and Mike Ramage, National Research Council

32

Marketing Light-Duty Diesels to U.S. Consumers | Department of...  

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

Marketing Light-Duty Diesels to U.S. Consumers Marketing Light-Duty Diesels to U.S. Consumers Overview of Volkswagens approach in introducing light-duty diesels to the U.S....

33

Improving the Efficiency of Light-Duty Vehicle HVAC Systems using...  

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

Light-Duty Vehicle HVAC Systems using Zonal Thermoelectric Devices and Comfort Modeling Improving the Efficiency of Light-Duty Vehicle HVAC Systems using Zonal Thermoelectric...

34

Fueling U.S. Light Duty Diesel Vehicles | Department of Energy  

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

Fueling U.S. Light Duty Diesel Vehicles Fueling U.S. Light Duty Diesel Vehicles 2005 Diesel Engine Emissions Reduction (DEER) Conference Presentations and Posters...

35

Assumptions to the Annual Energy Outlook 2000 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module estimates energy consumption across the nine Census Divisions and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, industry sport utility vehicles and vans), commercial light trucks (8501-10,000 lbs), freight trucks (>10,000 lbs), freight and passenger airplanes, freight rail, freight shipping, mass transit, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption. Transportation Demand Module estimates energy consumption across the nine Census Divisions and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, industry sport utility vehicles and vans), commercial light trucks (8501-10,000 lbs), freight trucks (>10,000 lbs), freight and passenger airplanes, freight rail, freight shipping, mass transit, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption. Key Assumptions Macroeconomic Sector Inputs

36

NGV and FCV Light Duty Transportation Perspective  

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

G G presentation slides: Natural Gas and Fuel Cell Vehicle Light-Duty transportation perspectives Matt Fronk, Matt Fronk & Associates, LLC 1 OctOber 2011 | ArgOnne nAtiOnAl lAbOrAtOry NG Workshop summary report - appeNDIX G 2 OctOber 2011 | ArgOnne nAtiOnAl lAbOrAtOry NG Workshop summary report - appeNDIX G 3 OctOber 2011 | ArgOnne nAtiOnAl lAbOrAtOry NG Workshop summary report - appeNDIX G 4 OctOber 2011 | ArgOnne nAtiOnAl lAbOrAtOry NG Workshop summary report - appeNDIX G 5 OctOber 2011 | ArgOnne nAtiOnAl lAbOrAtOry NG Workshop summary report - appeNDIX G 6 OctOber 2011 | ArgOnne nAtiOnAl lAbOrAtOry NG Workshop summary report - appeNDIX G 7 OctOber 2011 | ArgOnne nAtiOnAl lAbOrAtOry NG Workshop summary report - appeNDIX G

37

DOE Hydrogen Analysis Repository: Biofuels in Light-Duty Vehicles  

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

Biofuels in Light-Duty Vehicles Biofuels in Light-Duty Vehicles Project Summary Full Title: Mobility Chains Analysis of Technologies for Passenger Cars and Light-Duty Vehicles Fueled with Biofuels: Application of the GREET Model to the Role of Biomass in America's Energy Future (RBAEF) Project Project ID: 82 Principal Investigator: Michael Wang Brief Description: The mobility chains analysis estimated the energy consumption and emissions associated with the use of various biofuels in light-duty vehicles. Keywords: Well-to-wheels (WTW); ethanol; biofuels; Fischer Tropsch diesel; hybrid electric vehicles (HEV) Purpose The project was a multi-organization, multi-sponsor project to examine the potential of biofuels in the U.S. Argonne was responsible for the well-to-wheels analysis of biofuel production and use.

38

Light Duty Fuel Cell Electric Vehicle Hydrogen Fueling Protocol  

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

DOE Webinar Light Duty Fuel Cell Electric Vehicle Hydrogen Fueling Protocol U.S. DOE WEBINAR ON H2 FUELING PROTOCOLS: PARTICIPANTS Rob Burgess Moderator Jesse Schneider TIR J2601,...

39

Emission Control Strategy for Downsized Light-Duty Diesels |...  

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

p-18neely.pdf More Documents & Publications New Diesel Emissions Control Strategy for U.S. Tier 2 Light-Duty Diesel Market Potential in North America EPA Mobile Source Rule Update...

40

Marketing Light-Duty Diesels to U.S. Consumers  

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

Marketing Light-Duty Diesels to U.S. Consumers Norbert Krause Director Engineering and Environmental Office Volkswagen Group of America, Inc. 14 th Diesel Engine-Efficiency and...

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


41

Hybrid options for light-duty vehicles.  

SciTech Connect (OSTI)

Hybrid electric vehicles (HEVs) offer great promise in improving fuel economy. In this paper, we analyze why, how, and by how much vehicle hybridization can reduce energy consumption and improve fuel economy. Our analysis focuses on efficiency gains associated solely with vehicle hybridization. We do not consider such other measures as vehicle weight reduction or air- and tire-resistance reduction, because such measures would also benefit conventional technology vehicles. The analysis starts with understanding the energy inefficiencies of light-duty vehicles associated with different operation modes in US and Japanese urban and highway driving cycles, with the corresponding energy-saving potentials. The potential for fuel economy gains due to vehicle hybridization can be estimated almost exclusively on the basis of three elements: the reducibility of engine idling operation, the recoverability of braking energy losses, and the capability of improving engine load profiles to gain efficiency associated with specific HEV configurations and control strategies. Specifically, we evaluate the energy efficiencies and fuel economies of a baseline MY97 Corolla-like conventional vehicle (CV), a hypothetical Corolla-based minimal hybrid vehicle (MHV), and a MY98 Prius-like full hybrid vehicle (FHV). We then estimate energy benefits of both MHVs and FHVs over CVs on a performance-equivalent basis. We conclude that the energy benefits of hybridization vary not only with test cycles, but also with performance requirements. The hybrid benefits are greater for ''Corolla (high) performance-equivalent'' vehicles than for ''Prius (low) performance-equivalent'' vehicles. An increasing acceleration requirement would result in larger fuel economy benefits from vehicle hybridization.

An, F., Stodolsky, F.; Santini, D.

1999-07-19T23:59:59.000Z

42

WORKSHOP REPORT:Light-Duty Vehicles Technical Requirements and Gaps for Lightweight and Propulsion Materials  

Broader source: Energy.gov [DOE]

WORKSHOP REPORT:Light-Duty Vehicles Technical Requirements and Gaps for Lightweight and Propulsion Materials

43

Assumptions to the Annual Energy Outlook 2001 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, industry sport utility vehicles and vans), commercial light trucks (8501-10,000 lbs), freight trucks (>10,000 lbs), freight and passenger airplanes, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption. Key Assumptions Macroeconomic Sector Inputs

44

Advanced Technologies for Light-Duty Vehicles (released in AEO2006)  

Reports and Publications (EIA)

A fundamental concern in projecting the future attributes of light-duty vehicles-passenger cars, sport utility vehicles, pickup trucks, and minivans-is how to represent technological change and the market forces that drive it. There is always considerable uncertainty about the evolution of existing technologies, what new technologies might emerge, and how consumer preferences might influence the direction of change. Most of the new and emerging technologies expected to affect the performance and fuel use of light-duty vehicles over the next 25 years are represented in the National Energy Modeling System (NEMS); however, the potential emergence of new, unforeseen technologies makes it impossible to address all the technology options that could come into play. The previous section of Issues in Focus discussed several potential technologies that currently are not represented in NEMS. This section discusses some of the key technologies represented in NEMS that are expected to be implemented in light-duty vehicles over the next 25 years.

2006-01-01T23:59:59.000Z

45

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

Gasoline and Diesel Fuel Update (EIA)

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

46

Light-duty diesel engine development status and engine needs  

SciTech Connect (OSTI)

This report reviews, assesses, and summarizes the research and development status of diesel engine technology applicable to light-duty vehicles. In addition, it identifies specific basic and applied research and development needs in light-duty diesel technology and related health areas where initial or increased participation by the US Government would be desirable. The material presented in this report updates information provided in the first diesel engine status report prepared by the Aerospace Corporation for the Department of Energy in September, 1978.

Not Available

1980-08-01T23:59:59.000Z

47

NGNP: High Temperature Gas-Cooled Reactor Key Definitions, Plant Capabilities, and Assumptions  

SciTech Connect (OSTI)

This document is intended to provide a Next Generation Nuclear Plant (NGNP) Project tool in which to collect and identify key definitions, plant capabilities, and inputs and assumptions to be used in ongoing efforts related to the licensing and deployment of a high temperature gas-cooled reactor (HTGR). These definitions, capabilities, and assumptions are extracted from a number of sources, including NGNP Project documents such as licensing related white papers [References 1-11] and previously issued requirement documents [References 13-15]. Also included is information agreed upon by the NGNP Regulatory Affairs group's Licensing Working Group and Configuration Council. The NGNP Project approach to licensing an HTGR plant via a combined license (COL) is defined within the referenced white papers and reference [12], and is not duplicated here.

Phillip Mills

2012-02-01T23:59:59.000Z

48

Alternative Fuels Data Center: Light-Duty Vehicle Idle Reduction Strategies  

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

Light-Duty Vehicle Light-Duty Vehicle Idle Reduction Strategies to someone by E-mail Share Alternative Fuels Data Center: Light-Duty Vehicle Idle Reduction Strategies on Facebook Tweet about Alternative Fuels Data Center: Light-Duty Vehicle Idle Reduction Strategies on Twitter Bookmark Alternative Fuels Data Center: Light-Duty Vehicle Idle Reduction Strategies on Google Bookmark Alternative Fuels Data Center: Light-Duty Vehicle Idle Reduction Strategies on Delicious Rank Alternative Fuels Data Center: Light-Duty Vehicle Idle Reduction Strategies on Digg Find More places to share Alternative Fuels Data Center: Light-Duty Vehicle Idle Reduction Strategies on AddThis.com... More in this section... Idle Reduction Benefits & Considerations Heavy-Duty Vehicles Medium-Duty Vehicles

49

Alternative Fuels Data Center: Light-Duty Vehicle Data Collection Methods  

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

Data Collection Methods to someone by E-mail Data Collection Methods to someone by E-mail Share Alternative Fuels Data Center: Light-Duty Vehicle Data Collection Methods on Facebook Tweet about Alternative Fuels Data Center: Light-Duty Vehicle Data Collection Methods on Twitter Bookmark Alternative Fuels Data Center: Light-Duty Vehicle Data Collection Methods on Google Bookmark Alternative Fuels Data Center: Light-Duty Vehicle Data Collection Methods on Delicious Rank Alternative Fuels Data Center: Light-Duty Vehicle Data Collection Methods on Digg Find More places to share Alternative Fuels Data Center: Light-Duty Vehicle Data Collection Methods on AddThis.com... Light-Duty Vehicle Data Collection Methods To maintain the Light-Duty Vehicle Search tool, the National Renewable Energy Laboratory (NREL) gathers vehicle specifications, photos, and

50

High-Efficiency Clean Combustion in Light-Duty Multi-Cylinder...  

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

High-Efficiency Clean Combustion in Light-Duty Multi-Cylinder Diesel Engines High-Efficiency Clean Combustion in Light-Duty Multi-Cylinder Diesel Engines 2010 DOE Vehicle...

51

High Efficiency Clean Combustion in Multi-Cylinder Light-Duty...  

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

Efficiency Clean Combustion in Multi-Cylinder Light-Duty Engines High Efficiency Clean Combustion in Multi-Cylinder Light-Duty Engines 2012 DOE Hydrogen and Fuel Cells Program and...

52

Economic Comparison of LNT Versus Urea SCR for Light-Duty Diesel...  

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

Comparison of LNT Versus Urea SCR for Light-Duty Diesel Vehicles in the U.S. Market Economic Comparison of LNT Versus Urea SCR for Light-Duty Diesel Vehicles in the U.S. Market...

53

Urea SCR and DPF System for Tier 2 Diesel Light-Duty Trucks ...  

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

Tier 2 Diesel Light-Duty Trucks Urea SCR and DPF System for Tier 2 Diesel Light-Duty Trucks Presentation given at DEER 2006, August 20-24, 2006, Detroit, Michigan. Sponsored by the...

54

SCReaming for Low NOx - SCR for the Light Duty Market | Department...  

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

SCReaming for Low NOx - SCR for the Light Duty Market SCReaming for Low NOx - SCR for the Light Duty Market Presentation given at DEER 2006, August 20-24, 2006, Detroit, Michigan....

55

Why Light Duty Diesels Make Sense in the North American Market...  

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

Why Light Duty Diesels Make Sense in the North American Market Why Light Duty Diesels Make Sense in the North American Market Presentation given at DEER 2006, August 20-24, 2006,...

56

A Study of Emissions from a Light Duty Diesel Engine with the...  

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

A Study of Emissions from a Light Duty Diesel Engine with the European Particulate Measurement Programme A Study of Emissions from a Light Duty Diesel Engine with the European...

57

Targets for Onboard Hydrogen Storage Systems for Light-Duty Vehicles...  

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

Targets for Onboard Hydrogen Storage Systems for Light-Duty Vehicles Targets for Onboard Hydrogen Storage Systems for Light-Duty Vehicles This document describes the basis for the...

58

DOE Targets for Onboard Hydrogen Storage Systems for Light-Duty...  

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

Targets for Onboard Hydrogen Storage Systems for Light-Duty Vehicles DOE Targets for Onboard Hydrogen Storage Systems for Light-Duty Vehicles This table lists the technical targets...

59

Outlook for Light-Duty-Vehicle Fuel Demand | Department of Energy  

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

Outlook for Light-Duty-Vehicle Fuel Demand Outlook for Light-Duty-Vehicle Fuel Demand Gasoline and distillate demand impact of the Energy Independance and Security Act of 2007...

60

High Efficiency Clean Combustion in Multi-Cylinder Light-Duty...  

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

High Efficiency Clean Combustion in Multi-Cylinder Light-Duty Engines High Efficiency Clean Combustion in Multi-Cylinder Light-Duty Engines 2013 DOE Hydrogen and Fuel Cells Program...

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


61

Ultra-Low Sulfur diesel Update & Future Light Duty Diesel | Department...  

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

Ultra-Low Sulfur diesel Update & Future Light Duty Diesel Ultra-Low Sulfur diesel Update & Future Light Duty Diesel Presentation given at DEER 2006, August 20-24, 2006, Detroit,...

62

Low and high Temperature Dual Thermoelectric Generation Waste Heat Recovery System for Light-Duty Vehicles  

Broader source: Energy.gov [DOE]

Developing a low and high temperature dual thermoelectric generation waste heat recovery system for light-duty vehicles.

63

DOE/VTP Light-Duty Diesel Engine Commercialization  

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

VTP Light-Duty Diesel Engine Commercialization VTP Light-Duty Diesel Engine Commercialization Vehicle Technologies Program (VTP) spearheaded the development of clean diesel engine technologies for passenger vehicles in the 1990s, spurring the current reintroduction of highly efficient diesel vehicles into the passenger market. Cummins partnered with VTP to develop a diesel engine that meets the 50-state 2010 emissions standards while boosting vehicle fuel economy by 30% over comparable gasoline-powered vehicles. The Cummins engine is scheduled to debut in 2010 Chrysler sport utility vehicles and pickup trucks. VTP-sponsored research demonstrated the ability of diesel passenger vehicles with advanced aftertreatment to meet EPA's stringent Tier II Bin 5 standards, representing an 83% reduction in NOx and more than 87% reduction in

64

Alternative Fuels Data Center: Plug-In Hybrid and Zero Emission Light-Duty  

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

Plug-In Hybrid and Plug-In Hybrid and Zero Emission Light-Duty Vehicle Rebates to someone by E-mail Share Alternative Fuels Data Center: Plug-In Hybrid and Zero Emission Light-Duty Vehicle Rebates on Facebook Tweet about Alternative Fuels Data Center: Plug-In Hybrid and Zero Emission Light-Duty Vehicle Rebates on Twitter Bookmark Alternative Fuels Data Center: Plug-In Hybrid and Zero Emission Light-Duty Vehicle Rebates on Google Bookmark Alternative Fuels Data Center: Plug-In Hybrid and Zero Emission Light-Duty Vehicle Rebates on Delicious Rank Alternative Fuels Data Center: Plug-In Hybrid and Zero Emission Light-Duty Vehicle Rebates on Digg Find More places to share Alternative Fuels Data Center: Plug-In Hybrid and Zero Emission Light-Duty Vehicle Rebates on AddThis.com...

65

TTRDC - Light Duty E-Drive Vehicles Monthly Sales Updates  

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

Light Duty Electric Drive Vehicles Monthly Sales Updates Currently available electric-drive vehicles (EDV) in the U.S market include hybrid electric vehicles (HEV), plug-in hybrid electric vehicles (PHEV), and all electric vehicles (AEV). Plug-in Vehicles (PEV) include both PHEV and AEV. HEVs debuted in the U.S. market in December 1999 with 17 sales of the first-generation Honda Insight, while the first PHEV (Chevrolet Volt) and AEV (Nissan Leaf) most recently debuted in December 2010. Electric drive vehicles are offered in several car and SUV models, and a few pickup and van models. Historical sales of HEV, PHEV, and AEV are compiled by Argonne's Center for Transportation Research and reported to the U.S. Department of Energy's Vehicle Technology Program Office each month. These sales are shown in Figures 1, 2 and 3. Figure 1 shows monthly new PHEV and AEV sales by model. Figure 2 shows yearly new HEV sales by model. Figure 3 shows electric drive vehicles sales share of total light-duty vehicle (LDV) sales since 1999. Figure 4 shows HEV and PEV sales change with gasoline price..

66

The Diesel Engine Powering Light-Duty Vehicles: Today and Tomorrow...  

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

Engine Emissions Reduction (DEER) Conference Presentation: Volkwagen AG, Wolfsburg, Germany 2004deerschindler.pdf More Documents & Publications Accelerating Light-Duty Diesel...

67

DOE Targets for Onboard Hydrogen Storage Systems for Light-Duty Vehicles  

Broader source: Energy.gov [DOE]

This table lists the technical targets for onboard hydrogen storage for light-duty vehicles in the FCT Programs Multiyear Research, Development and Demonstration Plan.

68

Light duty utility arm deployment in Hanford tank T-106  

SciTech Connect (OSTI)

An existing gap in the technology for the remediation of underground waste storage tanks filled by the Light Duty Utility Arm (LDUA) System. On September 27 and 30, 1996, the LDUA System was deployed in underground storage tank T-106 at Hanford. The system performed successfully, satisfying all objectives of the in-tank operational test (hot test); performing close-up video inspection of features of tank dome, risers, and wall; and grasping and repositioning in-tank debris. The successful completion of hot testing at Hanford means that areas of tank structure and waste surface that were previously inaccessible are now within reach of remote tools for inspection, waste analysis, and small-scale retrieval. The LDUA System has become a new addition to the arsenal of technologies being applied to solve tank waste remediation challenges.

Kiebel, G.R.

1997-07-01T23:59:59.000Z

69

A Waste Heat Recovery System for Light Duty Diesel Engines  

SciTech Connect (OSTI)

In order to achieve proposed fuel economy requirements, engines must make better use of the available fuel energy. Regardless of how efficient the engine is, there will still be a significant fraction of the fuel energy that is rejected in the exhaust and coolant streams. One viable technology for recovering this waste heat is an Organic Rankine Cycle. This cycle heats a working fluid using these heat streams and expands the fluid through a turbine to produce shaft power. The present work was the development of such a system applied to a light duty diesel engine. This lab demonstration was designed to maximize the peak brake thermal efficiency of the engine, and the combined system achieved an efficiency of 44.4%. The design of the system is discussed, as are the experimental performance results. The system potential at typical operating conditions was evaluated to determine the practicality of installing such a system in a vehicle.

Briggs, Thomas E [ORNL; Wagner, Robert M [ORNL; Edwards, Kevin Dean [ORNL; Curran, Scott [ORNL; Nafziger, Eric J [ORNL

2010-01-01T23:59:59.000Z

70

Fleet assessment for opportunities to effectively deploy light duty alternative fuel vehicles  

SciTech Connect (OSTI)

The City of Detroit conducted an initial program to assess the potential for substitution of vehicles currently in operation with alternative fuel vehicles. A key task involved the development of an operating profile of the participant light truck and van fleets involved in the study. To do this a survey of operators of light duty trucks and vans within the project participant fleets was conducted. These survey results were analyzed to define the potential for substitution of conventional vehicles with alternate fuel vehicles with alternate fuel vehicles and to identify candidates for participation in the Mini-Demonstration portion of the project. The test program involved the deployment of an electric van (two GM Griffon Electric Vans provided by Detroit Edison) at seven Mini-Demonstration sites for a period of four weeks each for test and evaluation. The Technical Work Group then analyzed vehicle performance data and used a questionnaire to obtain impressions and attitudes of the users toward the acceptability of the electric van. The Technical Work Group (TWG) and Management Assessment Group (MAG) then prepared recommendations and an implementation plan to develop further information aimed toward eventual expanded deployment of alternative fuel vehicles within project participant light duty fleets. The MAG concluded that the study had been beneficial in collecting and developing important quantitative information, introducing a set of public fleet managers to alternative fuel vehicle opportunities and features, and had provided specific experience with the Griffon van which provided some indications of requirements in such vehicles if they are to be a normal part of public fleet operations. These included the need for some increase of the mileage range of the Griffon, an improvement in the ride and handling of the Griffon, and several minor'' difficulties experienced with malfunctioning or inconvenient characteristics of the Griffon equipment. 25 figs., 1 tab.

Not Available

1990-05-01T23:59:59.000Z

71

Fumigation of alcohol in a light duty automotive diesel engine  

SciTech Connect (OSTI)

A light-duty automotive diesel engine was fumigated with methanol and ethanol in amounts up to 35% and 50% of the total fuel energy respectively. The main purpose of this study was to determine the effect of alcohol (methanol and ethanol) fumigation on engine performance at various operating conditions. Engine fuel efficiency, emissions, smoke, and the occurrence of severe knock were the parameters used to evaluate performance. Raw exhaust particulate and its soluble organic extract were screened for biological activity using the Ames Salmonella typhimurium assay. Results are given for a test matrix made up of twelve steady-state operating conditions. For all conditions except the 1/4 rack (light load) condition, modest thermal efficiency gains were noted upon ethanol fumigation. Methanol showed the same increase at 3/4 and full rack (high load) conditions. However, engine roughness or the occurrence of severe knock limited the maximum amount of alcohol that could be fumigated. Brake specific NO/sub x/ concentrations were found to decrease for all ethanol conditions tested. Oxides of nitrogen emissions, on a volume basis, decreased for all alcohol conditions tested. Based on the limited particulate data analyzed, it appears as though ethanol fumigation, like methanol fumigation, while lowering the mass of particulate emitted, does enhance the biological activity of that particulate.

Broukhiyan, E.M.H.; Lestz, S.S.

1981-08-01T23:59:59.000Z

72

Retail Infrastructure Costs Comparison for Hydrogen and Electricity for Light-Duty Vehicles: Preprint  

SciTech Connect (OSTI)

Both hydrogen and plug-in electric vehicles offer significant social benefits to enhance energy security and reduce criteria and greenhouse gas emissions from the transportation sector. However, the rollout of electric vehicle supply equipment (EVSE) and hydrogen retail stations (HRS) requires substantial investments with high risks due to many uncertainties. We compare retail infrastructure costs on a common basis - cost per mile, assuming fueling service to 10% of all light-duty vehicles in a typical 1.5 million person city in 2025. Our analysis considers three HRS sizes, four distinct types of EVSE and two distinct EVSE scenarios. EVSE station costs, including equipment and installation, are assumed to be 15% less than today's costs. We find that levelized retail capital costs per mile are essentially indistinguishable given the uncertainty and variability around input assumptions. Total fuel costs per mile for battery electric vehicle (BEV) and plug-in hybrid vehicle (PHEV) are, respectively, 21% lower and 13% lower than that for hydrogen fuel cell electric vehicle (FCEV) under the home-dominant scenario. Including fuel economies and vehicle costs makes FCEVs and BEVs comparable in terms of costs per mile, and PHEVs are about 10% less than FCEVs and BEVs. To account for geographic variability in energy prices and hydrogen delivery costs, we use the Scenario Evaluation, Regionalization and Analysis (SERA) model and confirm the aforementioned estimate of cost per mile, nationally averaged, but see a 15% variability in regional costs of FCEVs and a 5% variability in regional costs for BEVs.

Melaina, M.; Sun, Y.; Bush, B.

2014-08-01T23:59:59.000Z

73

Non-Cost Barriers to Consumer Adoption of New Light-Duty Vehicle Technologies  

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

LIGHT-DUTY VEHICLES LIGHT-DUTY VEHICLES Non-Cost Barriers to Consumer Adoption of New Light-Duty Vehicle Technologies TRANSPORTATION ENERGY FUTURES SERIES: Non-Cost Barriers to Consumer Adoption of New Light-Duty Vehicle Technologies A Study Sponsored by U.S. Department of Energy Office of Energy Efficiency and Renewable Energy March 2013 Prepared by ARGONNE NATIONAL LABORATORY Argonne, Illinois 60439 managed by U Chicago Argonne, LLC for the U.S. DEPARTMENT OF ENERGY under contract DE-AC02-06CH11357 This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, expressed or implied, or assumes any legal liability or

74

Business Case for Light-Duty Diesel in the U.S. | Department...  

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

Diesel in the U.S. Business Case for Light-Duty Diesel in the U.S. 2005 Diesel Engine Emissions Reduction (DEER) Conference Presentations and Posters 2005deermcmanus.pdf More...

75

Impact of Fuel Properties on Light-Duty Engine Performance and Emissions  

Broader source: Energy.gov [DOE]

Describes the effects of seven fuels with significantly different fuel properties on a state-of-the-art light-duty diesel engine. Cetane numbers range between 26 and 76 for the investigated fuels.

76

Fuel Effects on Low Temperature Combustion in a Light-Duty Diesel Engine  

Broader source: Energy.gov [DOE]

Six different fuels were investigated to study the influence of fuel properties on engine out emissions and performance of low temperature premixed compression ignition combustion light-duty HSDI engines

77

The Diesel Engine Powering Light-Duty Vehicles: Today and Tomorrow  

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

diesel-powered light-duty vehicles 1990 1995 2000 2005 2010 2015 2020 2025 Energy Greenhouse effect CO 2 Exhaust gas emissions CO, NO x , HC, PM Importance Environmental driving...

78

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

E-Print Network [OSTI]

MythsRegarding Alternative Fuel Vehicte Demand Light-Dutyregulation Myths Regarding Alternative Fuel Vehicle DemandBy00006-6 MYTHS REGARDING ALTERNATIVE FUEL VEHICLE LIGHT-DUTY

Nesbitt, Kevin; Sperling, Daniel

1998-01-01T23:59:59.000Z

79

Addressing the Challenges of RCCI Operation on a Light-Duty Multi...  

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

the Challenges of RCCI Operation on a Light-Duty Multi-Cylinder Engine ORNL and UW collaboration in evaluating and developing RCCI operation in fully built multi-cylinder engine...

80

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

SciTech Connect (OSTI)

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

Smith, Steven J.; Kyle, G. Page

2007-08-04T23:59:59.000Z

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


81

Safety equipment list for the light duty utility arm system  

SciTech Connect (OSTI)

The initial issue (Revision 0) of this Safety Equipment List (SEL) for the Light Duty Utility Arm (LDUA) requires an explanation for both its existence and its being what it is. All LDUA documentation leading up to creation of this SEL, and the SEL itself, is predicated on the LDUA only being approved for use in waste tanks designated as Facility Group 3, i.e., it is not approved for use in Facility Group 1 or 2 waste tanks. Facility Group 3 tanks are those in which a spontaneous or induced hydrogen gas release would be small, localized, and would not exceed 25% of the LFL when mixed with the remaining air volume in the dome space; exceeding these parameters is considered unlikely. Thus, from a NFPA flammable gas environment perspective the waste tank interior is not classified as a hazardous location. Furthermore, a hazards identification and evaluation (HNF-SD-WM-HIE-010, REV 0) performed for the LDUA system concluded that the consequences of actual LDUA system postulated accidents in Flammable Gas Facility Group 3 waste tanks would have either NO IMPACT or LOW IMPACT on the offsite public and onsite worker. Therefore, from a flammable gas perspective, there is not a rationale for classifying any of SSCs associated with the LDUA as either Safety Class (SC) or Safety Significant (SS) SSCs, which, by default, categorizes them as General Service (GS) SSCs. It follows then, based on current PHMC procedures (HNF-PRO-704 and HNF-IP-0842, Vol IV, Section 5.2) for SEL creation and content, and from a flammable gas perspective, that an SEL is NOT REQ@D HOWEVER!!! There is both a precedent and a prudency to capture all SSCS, which although GS, contribute to a Defense-In-Depth (DID) approach to the design and use of equipment in potentially flammable gas environments. This Revision 0 of the LDUA SEL has been created to capture these SSCs and they are designated as GS-DID in this document. The specific reasons for doing this are listed.

Barnes, G.A.

1998-03-02T23:59:59.000Z

82

Transient in cab noise investigation on a light duty diesel passenger vehicle.  

Science Journals Connector (OSTI)

A diesel engine in cab sound quality for passenger car market is scrutinized more closely than in the mid? to heavy duty diesel truck applications. This is obviously due to the increasing expectations from the customers for gasolinelike sound quality. This paper deals with a sound quality issue recently investigated on a light duty diesel engine for a passenger van application. The objectionable noise complaint occurred during the vehicle transient operating conditions and was found to be caused by the change in the pilot quantity over a very short period of time. The root cause of the noise complaint was investigated on the noise complaint vehicle as well as simultaneously on a standalone engine in the noise test cell. Several critical combustion and performance parameters were recorded for diagnosing the issue. In addition various standard sound quality metrics were employed to differentiate the sound quality of the objectionable noise. The issue was resolved and verified by making appropriate changes to the engine calibration without affecting key requirements such as emissions and fuel economy. Finally the findings from the experimental tests are summarized and appropriate conclusions are drawn with respect to understanding characterizing and resolving this transient combustion related impulsive powertrain interior noise issue.

Dhanesh Purekar

2010-01-01T23:59:59.000Z

83

Improving the Efficiency of Light-Duty Vehicle HVAC Systems using Zonal Thermoelectric Devices and Comfort Modeling  

Broader source: Energy.gov [DOE]

Summarizes results from a study to identify and demonstrate technical and commercial approaches necessary to accelerate the deployment of zonal TE HVAC systems in light-duty vehicles

84

Design criteria for the light duty utility arm system end effectors  

SciTech Connect (OSTI)

This document provides the criteria for the design of end effectors that will be used as part of the Light Duty Utility Arm (LDUA) System. The LDUA System consists of a deployment vehicle, a vertical positioning mast, a light duty multi-axis robotic arm, a tank riser interface and confinement, a tool interface plate, a control system, and an operations control trailer. The criteria specified in this document will apply to all end effector systems being developed for use on or with the LDUA system at the Hanford site. The requirement stipulated in this document are mandatory.

Pardini, A.F.

1995-01-03T23:59:59.000Z

85

Status of advanced light-duty transportation technologies in the US  

Science Journals Connector (OSTI)

The need to reduce oil consumption and greenhouse gases is driving a fundamental change toward more efficient, advanced vehicles, and fuels in the transportation sector. The paper reviews the current status of light duty vehicles in the US and discusses policies to improve fuel efficiency, advanced electric drives, and sustainable cellulosic biofuels. The paper describes the cost, technical, infrastructure, and market barriers for alternative technologies, i.e., advanced biofuels and light-duty vehicles, including diesel vehicles, natural-gas vehicles, hybrid electric vehicles, plug-in hybrid electric vehicles, and fuel-cell electric vehicles. The paper also presents R&D targets and technology validation programs of the US government.

David Andress; Sujit Das; Fred Joseck; T. Dean Nguyen

2012-01-01T23:59:59.000Z

86

Detroit Diesel Engine Technology for Light Duty Truck Applications - DELTA Engine Update  

SciTech Connect (OSTI)

The early generation of the DELTA engine has been thoroughly tested and characterized in the virtual lab, during engine dynamometer testing, and on light duty trucks for personal transportation. This paper provides an up-to-date account of program findings. Further, the next generation engine design and future program plans will be briefly presented.

Freese, Charlie

2000-08-20T23:59:59.000Z

87

1 THE LIGHT-DUTY-VEHICLE FLEET'S EVOLUTION: 2 ANTICIPATING PHEV ADOPTION AND GREENHOUSE GAS  

E-Print Network [OSTI]

1 THE LIGHT-DUTY-VEHICLE FLEET'S EVOLUTION: 2 ANTICIPATING PHEV ADOPTION AND GREENHOUSE GAS 3 patterns ­ and associated petroleum use 33 and greenhouse gas (GHG) emissions ­ can change under different microsimulation, travel behavior modeling, greenhouse gas emissions60 INTRODUCTION AND MOTIVATION61 Per

Kockelman, Kara M.

88

Development of a Waste Heat Recovery System for Light Duty Diesel Engines  

Broader source: Energy.gov [DOE]

Substantial increases in engine efficiency of a light-duty diesel engine, which require utilization of the waste energy found in the coolant, EGR, and exhaust streams, may be increased through the development of a Rankine cycle waste heat recovery system

89

Assessment of Fuel Economy Technologies for Light-Duty Vehicles  

SciTech Connect (OSTI)

An analysis of the number of stations and vehicles necessary to achieve future goals for sales of ethanol fuel (E85) is presented. Issues related to the supply of ethanol, which may turn out to be of even greater concern, are not analyzed here. A model of consumers decisions to purchase E85 versus gasoline based on prices, availability, and refueling frequency is derived, and preliminary results for 2010, 2017, and 2030 consistent with the president s 2007 biofuels program goals are presented. A limited sensitivity analysis is carried out to indicate key uncertainties in the trade-off between the number of stations and fuels. The analysis indicates that to meet a 2017 goal of 26 billion gallons of E85 sold, on the order of 30% to 80% of all stations may need to offer E85 and that 125 to 200 million flexible-fuel vehicles (FFVs) may need to be on the road, even if oil prices remain high. These conclusions are tentative for three reasons: there is considerable uncertainty about key parameter values, such as the price elasticity of choice between E85 and gasoline; the future prices of E85 and gasoline are uncertain; and the method of analysis used is highly aggregated it does not consider the potential benefits of regional strategies or the possible existence of market segments predisposed to purchase E85. Nonetheless, the preliminary results indicate that the 2017 biofuels program goals are ambitious and will require a massive effort to produce enough FFVs and ensure widespread availability of E85.

Greene, David L [ORNL

2008-01-01T23:59:59.000Z

90

Transportation Energy Futures Series: Potential for Energy Efficiency Improvement Beyond the Light-Duty-Vehilce Sector  

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

COMMERCIAL TRUCKS COMMERCIAL TRUCKS AVIATION MARINE MODES RAILROADS PIPELINES OFF-ROAD EQUIPMENT Potential for Energy Efficiency Improvement Beyond the Light-Duty-Vehicle Sector TRANSPORTATION ENERGY FUTURES SERIES: Potential for Energy Efficiency Improvement Beyond the Light-Duty-Vehicle Sector A Study Sponsored by U.S. Department of Energy Office of Energy Efficiency and Renewable Energy February 2013 Prepared by ARGONNE NATIONAL LABORATORY Argonne, IL 60439 managed by U Chicago Argonne, LLC for the U.S. DEPARTMENT OF ENERGY under contract DE-AC02-06CH11357 This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, expressed or implied, or assumes any legal liability or

91

Transportation Energy Futures Series: Potential for Energy Efficiency Improvement Beyond the Light-Duty-Vehicle Sector  

SciTech Connect (OSTI)

Considerable research has focused on energy efficiency and fuel substitution options for light-duty vehicles, while much less attention has been given to medium- and heavy-duty trucks, buses, aircraft, marine vessels, trains, pipeline, and off-road equipment. This report brings together the salient findings from an extensive review of literature on future energy efficiency options for these non-light-duty modes. Projected activity increases to 2050 are combined with forecasts of overall fuel efficiency improvement potential to estimate the future total petroleum and greenhouse gas (GHG) emissions relative to current levels. This is one of a series of reports produced as a result of the Transportation Energy Futures (TEF) project, a Department of Energy-sponsored multi-agency project initiated to pinpoint underexplored strategies for abating GHGs and reducing petroleum dependence related to transportation.

Vyas, A. D.; Patel, D. M.; Bertram, K. M.

2013-03-01T23:59:59.000Z

92

Program Record 13006 (Offices of Vehicle Technologies and Fuel Cell Technologies: Life-Cycle Costs of Mid-Size Light-Duty Vehicles  

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

Program Record (Offices of Vehicle Technologies & Fuel Cell Program Record (Offices of Vehicle Technologies & Fuel Cell Technologies) Record #: 13006 Date: April 24, 2013 Title: Life-cycle Costs of Mid-Size Light-Duty Vehicles Originator: Tien Nguyen & Jake Ward Approved by: Sunita Satyapal Pat Davis Date: April 25, 2013 Items: DOE is pursuing a portfolio of technologies with the potential to significantly reduce greenhouse gases (GHG) emissions and petroleum consumption while being cost-effective. This record documents the assumptions and results of analyses conducted to estimate the life-cycle costs resulting from several fuel/vehicle pathways, for a future mid-size car. The results are summarized graphically in the following figure. Costs of Operation for Future Mid-Size Car

93

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

SciTech Connect (OSTI)

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

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

1989-04-01T23:59:59.000Z

94

Tank selection for Light Duty Utility Arm (LDUA) system hot testing in a single shell tank  

SciTech Connect (OSTI)

The purpose of this report is to recommend a single shell tank in which to hot test the Light Duty Utility Arm (LDUA) for the Tank Waste Remediation System (TWRS) in Fiscal Year 1996. The LDUA is designed to utilize a 12 inch riser. During hot testing, the LDUA will deploy two end effectors (a High Resolution Stereoscopic Video Camera System and a Still/Stereo Photography System mounted on the end of the arm`s tool interface plate). In addition, three other systems (an Overview Video System, an Overview Stereo Video System, and a Topographic Mapping System) will be independently deployed and tested through 4 inch risers.

Bhatia, P.K.

1995-01-31T23:59:59.000Z

95

Microsoft Word - EXT-12-27320_Idle-Stop_Light_Duty_Passenger_Vehicles.docx  

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

7320 7320 Quantifying the Effects of Idle-Stop Systems on Fuel Economy in Light- Duty Passenger Vehicles Jeffrey Wishart Matthew Shirk Contract No. DE-FC26-05NT42486 December 2012 DISCLAIMER This information was prepared as an account of work sponsored by an agency of the U.S. Government. Neither the U.S. Government nor any agency thereof, nor any of their employees, makes any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness, of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. References herein to any specific commercial product, process, or service by trade name, trade mark, manufacturer, or otherwise,

96

Efficiency Improvement Opportunities for Light-Duty Natural-Gas-Fueled Vehicles  

SciTech Connect (OSTI)

The purpose of this report is to evaluate and make recommendations concerning technologies that promise to improve the efilciency of compressed natural gas (CNG) light-duty vehicles. Technical targets for CNG automotive technology given in the March 1998 OffIce of Advanced Automotive Technologies research and development plan were used as guidance for this effort. The technical target that necessitates this current study is to validate technologies that enable CNG light vehicles to have at least 10% greater - fuel economy (on a miles per gallon equivalent basis) than equivalent gasoline vehicles by 2006. Other tar- gets important to natural gas (NG) automotive technology and this study are to: (1) increase CNG vehicle range to 380 miles, (2) reduce the incremental vehicle cost (CNG vs gasoline) to $1500, and (3) meet the California ultra low-emission vehicle (ULEV) and Federal Tier 2 emission standards expected to be in effect in 2004.

Staunton, R.H.; Thomas, J.F.

1998-12-01T23:59:59.000Z

97

Piston Bowl Optimization for RCCI Combustion in a Light-Duty Multi-Cylinder Engine  

SciTech Connect (OSTI)

Reactivity Controlled Compression Ignition (RCCI) is an engine combustion strategy that that produces low NO{sub x} and PM emissions with high thermal efficiency. Previous RCCI research has been investigated in single-cylinder heavy-duty engines. The current study investigates RCCI operation in a light-duty multi-cylinder engine at 3 operating points. These operating points were chosen to cover a range of conditions seen in the US EPA light-duty FTP test. The operating points were chosen by the Ad Hoc working group to simulate operation in the FTP test. The fueling strategy for the engine experiments consisted of in-cylinder fuel blending using port fuel-injection (PFI) of gasoline and early-cycle, direct-injection (DI) of diesel fuel. At these 3 points, the stock engine configuration is compared to operation with both the original equipment manufacturer (OEM) and custom machined pistons designed for RCCI operation. The pistons were designed with assistance from the KIVA 3V computational fluid dynamics (CFD) code. By using a genetic algorithm optimization, in conjunction with KIVA, the piston bowl profile was optimized for dedicated RCCI operation to reduce unburned fuel emissions and piston bowl surface area. By reducing these parameters, the thermal efficiency of the engine was improved while maintaining low NOx and PM emissions. Results show that with the new piston bowl profile and an optimized injection schedule, RCCI brake thermal efficiency was increased from 37%, with the stock EURO IV configuration, to 40% at the 2,600 rev/min, 6.9 bar BMEP condition, and NOx and PM emissions targets were met without the need for exhaust after-treatment.

Hanson, Reed M [ORNL; Curran, Scott [ORNL; Wagner, Robert M [ORNL; Reitz, Rolf [University of Wisconsin; Kokjohn, Sage [University of Wisconsin, Madison

2012-01-01T23:59:59.000Z

98

Assumptions to the Annual Energy Outlook - Transportation Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumption to the Annual Energy Outlook Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, sport utility vehicles and vans), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger airplanes, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

99

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumptions to the Annual Energy Outlook 2006 The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption isthe sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger aircraft, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

100

EIA - Assumptions to the Annual Energy Outlook 2008 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumptions to the Annual Energy Outlook 2008 Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger aircraft, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

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


101

EIA - Assumptions to the Annual Energy Outlook 2009 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumptions to the Annual Energy Outlook 2009 Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger aircraft, freight, rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

102

Reactivity Controlled Compression Ignition (RCCI) Combustion on a Multi-Cylinder Light-Duty Diesel Engine  

SciTech Connect (OSTI)

Reactivity controlled compression ignition is a low-temperature combustion technique that has been shown, both in computational fluid dynamics modeling and single-cylinder experiments, to obtain diesel-like efficiency or better with ultra-low nitrogen oxide and soot emissions, while operating primarily on gasoline-like fuels. This paper investigates reactivity controlled compression ignition operation on a four-cylinder light-duty diesel engine with production-viable hardware using conventional gasoline and diesel fuel. Experimental results are presented over a wide speed and load range using a systematic approach for achieving successful steady-state reactivity controlled compression ignition combustion. The results demonstrated diesel-like efficiency or better over the operating range explored with low engine-out nitrogen oxide and soot emissions. A peak brake thermal efficiency of 39.0% was demonstrated for 2600 r/min and 6.9 bar brake mean effective pressure with nitrogen oxide emissions reduced by an order of magnitude compared to conventional diesel combustion operation. Reactivity controlled compression ignition emissions and efficiency results are compared to conventional diesel combustion operation on the same engine.

Curran, Scott [ORNL; Hanson, Reed M [ORNL; Wagner, Robert M [ORNL

2012-01-01T23:59:59.000Z

103

Predicting Light-Duty Vehicle Fuel Economy as a Function of Highway Speed  

SciTech Connect (OSTI)

The www.fueleconomy.gov website offers information such as window label fuel economy for city, highway, and combined driving for all U.S.-legal light-duty vehicles from 1984 to the present. The site is jointly maintained by the U.S. Department of Energy and the U.S. Environmental Protection Agency (EPA), and also offers a considerable amount of consumer information and advice pertaining to vehicle fuel economy and energy related issues. Included with advice pertaining to driving styles and habits is information concerning the trend that as highway cruising speed is increased, fuel economy will degrade. An effort was undertaken to quantify this conventional wisdom through analysis of dynamometer testing results for 74 vehicles at steady state speeds from 50 to 80 mph. Using this experimental data, several simple models were developed to predict individual vehicle fuel economy and its rate of change over the 50-80 mph speed range interval. The models presented require a minimal number of vehicle attributes. The simplest model requires only the EPA window label highway mpg value (based on the EPA specified estimation method for 2008 and beyond). The most complex of these simple model uses vehicle coast-down test coefficients (from testing prescribed by SAE Standard J2263) known as the vehicle Target Coefficients, and the raw fuel economy result from the federal highway test. Statistical comparisons of these models and discussions of their expected usefulness and limitations are offered.

Thomas, John F [ORNL; Hwang, Ho-Ling [ORNL; West, Brian H [ORNL; Huff, Shean P [ORNL

2013-01-01T23:59:59.000Z

104

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

SciTech Connect (OSTI)

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

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

2013-01-01T23:59:59.000Z

105

Future Potential of Hybrid and Diesel Powertrains in the U.S. Light-duty Vehicle Market  

SciTech Connect (OSTI)

Diesel and hybrid technologies each have the potential to increase light-duty vehicle fuel economy by a third or more without loss of performance, yet these technologies have typically been excluded from technical assessments of fuel economy potential on the grounds that hybrids are too expensive and diesels cannot meet Tier 2 emissions standards. Recently, hybrid costs have come down and the few hybrid makes available are selling well. Diesels have made great strides in reducing particulate and nitrogen oxide emissions, and are likely though not certain to meet future standards. In light of these developments, this study takes a detailed look at the market potential of these two powertrain technologies and their possible impacts on light-duty vehicle fuel economy. A nested multinomial logit model of vehicle choice was calibrated to 2002 model year sales of 930 makes, models and engine-transmission configurations. Based on an assessment of the status and outlook for the two technologies, market shares were predicted for 2008, 2012 and beyond, assuming no additional increase in fuel economy standards or other new policy initiatives. Current tax incentives for hybrids are assumed to be phased out by 2008. Given announced and likely introductions by 2008, hybrids could capture 4-7% and diesels 2-4% of the light-duty market. Based on our best guesses for further introductions, these shares could increase to 10-15% for hybrids and 4-7% for diesels by 2012. The resulting impacts on fleet average fuel economy would be about +2% in 2008 and +4% in 2012. If diesels and hybrids were widely available across vehicle classes, makes, and models, they could capture 40% or more of the light-duty vehicle market.

Greene, D.L.

2004-08-23T23:59:59.000Z

106

A techno-economic analysis and optimization of Li-ion batteries for light-duty passenger vehicle electrification  

E-Print Network [OSTI]

A techno-economic analysis and optimization of Li-ion batteries for light-duty passenger vehicle 15213, USA h i g h l i g h t s We analyze EV Li-ion NMC-G battery & pack designs and optimize thickness a b s t r a c t We conduct a techno-economic analysis of Li-ion NMC-G prismatic pouch battery

McGaughey, Alan

107

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

E-Print Network [OSTI]

The subject of future markets for diesel powered and hybrid-as the European market for diesel-powered vehicles grows.of a large market for light duty diesel vehicles. Figure 2

Burke, Andy

2004-01-01T23:59:59.000Z

108

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

E-Print Network [OSTI]

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

Evans, Christopher W. (Christopher William)

2008-01-01T23:59:59.000Z

109

Feasibility Study Of Advanced Technology Hov Systems: Volume 2b: Emissions Impact Of Roadway-powered Electric Buses, Light-duty Vehicles, And Automobiles  

E-Print Network [OSTI]

EV's, roadway-powered electric automobiles, and light dutyFor Roadway-Powered Electric Automobiles -a---- Range ofFor Roadway-Powered Electric Automobiles Range of Estimated

Miller, Mark A.; Dato, Victor; Chira-chavala, Ted

1992-01-01T23:59:59.000Z

110

AEO Assumptions  

Gasoline and Diesel Fuel Update (EIA)

for the for the Annual Energy Outlook 1997 December 1996 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 Energy Information Administration/Assumptions for the Annual Energy Outlook 1997 Contents Page Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Commercial Demand Module . . . . . . . . . . . . . . . . . .

111

Membrane-Based Air Composition Control for Light-Duty Diesel Vehicles: A Benefit and Cost Assessment  

SciTech Connect (OSTI)

This report presents the methodologies and results of a study conducted by Argonne National Laboratory (Argonne) to assess the benefits and costs of several membrane-based technologies. The technologies evaluated will be used in automotive emissions-control and performance-enhancement systems incorporated into light-duty diesel vehicle engines. Such engines are among the technologies that are being considered to power vehicles developed under the government-industry Partnership for a New Generation of Vehicles (PNGV). Emissions of nitrogen oxides (NO{sub x}) from diesel engines have long been considered a barrier to use of diesels in urban areas. Recently, particulate matter (PM) emissions have also become an area of increased concern because of new regulations regarding emissions of particulate matter measuring 2.5 micrometers or less (PM{sub 2.5}). Particulates are of special concern for diesel engines in the PNGV program; the program has a research goal of 0.01 gram per mile (g/mi) of particulate matter emissions under the Federal Test Procedure (FTP) cycle. This extremely low level (one-fourth the level of the Tier II standard) could threaten the viability of using diesel engines as stand-alone powerplants or in hybrid-electric vehicles. The techniques analyzed in this study can reduce NO{sub x} and particulate emissions and even increase the power density of the diesel engines used in light-duty diesel vehicles.

K. Stork; R. Poola

1998-10-01T23:59:59.000Z

112

EIA-Assumptions to the Annual Energy Outlook - Transportation Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumptions to the Annual Energy Outlook 2007 Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption isthe sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger aircraft, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

113

Characteristics of Soot and Particle Size Distribution in the Exhaust of a Common Rail Light-Duty Diesel Engine Fuelled with Biodiesel  

Science Journals Connector (OSTI)

Limited studies have been accumulated as to the effects of biodiesel on PSD in light-duty modern diesel engines employed with common rail (CR) injection system and exhaust gas recirculation (EGR) that are currently widely used in transportation vehicles in European and U.S. markets. ... 0 diesel, which is commonly used in the Chinese market. ...

Xusheng Zhang; Zhijun Wu; Liguang Li

2012-08-09T23:59:59.000Z

114

DOE Issues Request for Information on Fuel Cells for Continuous On-Board Recharging for Battery Electric Light-Duty Vehicles  

Broader source: Energy.gov [DOE]

The USDOE's Fuel Cell Technologies Office has issued an RFI seeking feedback from the research community and relevant stakeholders about fuel cell technology validation, commercial acceleration, and potential deployment strategies for continuous fuel cell rechargers on board light-duty electric vehicle fleets.

115

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

SciTech Connect (OSTI)

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

Whitney, K.

2014-05-01T23:59:59.000Z

116

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

E-Print Network [OSTI]

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

Frey, H. Christopher

117

Global Assessment of Hydrogen Technologies - Task 1 Report Technology Evaluation of Hydrogen Light Duty Vehicles  

SciTech Connect (OSTI)

This task analyzes the candidate hydrogen-fueled vehicles for near-term use in the Southeastern U.S. The purpose of this work is to assess their potential in terms of efficiency and performance. This report compares conventional, hybrid electric vehicles (HEV) with gasoline and hydrogen-fueled internal combustion engines (ICEs) as well as fuel cell and fuel cell hybrids from a technology as well as fuel economy point of view. All the vehicles have been simulated using the Powertrain System Analysis Toolkit (PSAT). First, some background information is provided on recent American automotive market trends and consequences. Moreover, available options are presented for introducing cleaner and more economical vehicles in the market in the future. In this study, analysis of various candidate hydrogen-fueled vehicles is performed using PSAT and, thus, a brief description of PSAT features and capabilities are provided. Detailed information on the simulation analysis performed is also offered, including methodology assumptions, fuel economic results, and conclusions from the findings.

Fouad, Fouad H.; Peters, Robert W.; Sisiopiku, Virginia P.; Sullivan Andrew J.; Rousseau, Aymeric

2007-12-01T23:59:59.000Z

118

Simulating Study of Premixed Charge Compression Ignition on Light-Duty Diesel Fuel Economy and Emissions Control  

SciTech Connect (OSTI)

We utilize the Powertrain Systems Analysis Toolkit (PSAT) combined with transient engine and aftertreatment component models to simulate the impact of premixed charge compression ignition (PCCI) on the fuel economy and emissions of light-duty (LD) diesel-powered conventional and hybrid electric vehicles (HEVs). Our simulated aftertreatment train consists of a diesel oxidation catalyst (DOC), lean NOx trap (LNT), and catalyzed diesel particulate filter (DPF). The results indicate that utilizing PCCI combustion significantly reduces fuel consumption and tailpipe emissions for the conventional diesel-powered vehicle with NOx and particulate emissions controls. These benefits result from a favorable engine speed-load distribution over the cycle combined with a corresponding reduction in the need to regenerate the LNT and DPF. However, the current PCCI technology appears to offer less potential benefit for diesel HEVs equipped with similar emissions controls. This is because PCCI can only be activated over a relatively small part of the drive cycle. Thus we conclude that future utilization of PCCI in diesel HEVs will require significant extension of the available speed-load range for PCCI and revision of current HEV engine management strategies before significant benefits can be realized.

Gao, Zhiming [ORNL] [ORNL; Daw, C Stuart [ORNL] [ORNL; Wagner, Robert M [ORNL] [ORNL

2012-01-01T23:59:59.000Z

119

Size-resolved engine exhaust aerosol characteristics in a metal foam particulate filter for GDI light-duty vehicle  

Science Journals Connector (OSTI)

The particulate emissions generated from a side-mounted 2.4L gasoline direct injection (GDI) engine were evaluated using a metal foam-type gasoline particulate filter (GPF), placed on the downstream of a three-way catalyst. An ULEV legislation-compliant light-duty vehicle was tested under the new European driving cycle (NEDC) and at constant-speed driving conditions. Particle number (PN) concentrations, particulate size distribution and the filtration efficiency of the GPF were evaluated with the condensation particle counter (CPC) and the differential mobility spectrometer (DMS). The PN emissions for the entire NEDC were 1.17E+12N/km for the base GDI vehicle and 4.99E+11N/km for the GPF-equipped GDI vehicle, and the filtration efficiency of the GPF was 57%. In particular, the number of sub-23nm particles formed in the GDI vehicle was substantially reduced, with 97% efficiency. The pressure drop in the metal foam-type GPF was constrained to be below 1.0kPa at a 120km/h vehicle speed, and as a result, the fuel economy and the CO2 emission for the GPF-applied vehicle were equivalent to those for the base vehicle.

Kwanhee Choi; Juwon Kim; Ahyun Ko; Cha-Lee Myung; Simsoo Park; Jeongmin Lee

2013-01-01T23:59:59.000Z

120

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

Science Journals Connector (OSTI)

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

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

2013-01-01T23:59:59.000Z

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


121

Effect of Gasoline Properties on Exhaust Emissions from Tier 2 Light-Duty Vehicles -- Final Report: Phases 4, 5, & 6; July 28, 2008 - July 27, 2013  

SciTech Connect (OSTI)

This report covers work the Southwest Research Institute (SwRI) Office of Automotive Engineering has conducted for the National Renewable Energy Laboratory (NREL) in support of the Energy Policy Act of 2005 (EPAct). Section 1506 of EPAct requires the EPA to produce an updated fuel effects model representing the 2007 light-duty gasoline fleet, including determination of the emissions impacts of increased renewable fuel use.

Whitney, K.; Shoffner, B.

2014-06-01T23:59:59.000Z

122

Investigation of BiodieselDiesel Fuel Blends on Combustion Characteristics in a Light-Duty Diesel Engine Using OpenFOAM  

Science Journals Connector (OSTI)

Investigation of BiodieselDiesel Fuel Blends on Combustion Characteristics in a Light-Duty Diesel Engine Using OpenFOAM ... (1) In addition, biodiesel can be used in existing compression ignition (CI) or diesel engines with minimal or no modifications because its physicochemical characteristics are very similar to those of fossil diesel. ... However, when CME, PME, and SME are blended with 50 vol % of diesel fuel, the general trend as discussed above is not reproduced. ...

Harun Mohamed Ismail; Hoon Kiat Ng; Suyin Gan; Xinwei Cheng; Tommaso Lucchini

2012-11-12T23:59:59.000Z

123

DRIVE CYCLE EFFICIENCY AND EMISSIONS ESTIMATES FOR REACTIVITY CONTROLLED COMPRESSION IGNITION IN A MULTI-CYLINDER LIGHT-DUTY DIESEL ENGINE  

SciTech Connect (OSTI)

In-cylinder blending of gasoline and diesel to achieve Reactivity Controlled Compression Ignition (RCCI) has been shown to reduce NOx and PM emissions while maintaining or improving brake thermal efficiency as compared to conventional diesel combustion (CDC). The RCCI concept has an advantage over many advanced combustion strategies in that by varying both the percent of premixed gasoline and EGR rate, stable combustion can be extended over more of the light-duty drive cycle load range. Changing the percent premixed gasoline changes the fuel reactivity stratification in the cylinder providing further control of combustion phasing and pressure rise rate than the use of EGR alone. This paper examines the combustion and emissions performance of light-duty diesel engine using direct injected diesel fuel and port injected gasoline to carry out RCCI for steady-state engine conditions which are consistent with a light-duty drive cycle. A GM 1.9L four-cylinder engine with the stock compression ratio of 17.5:1, common rail diesel injection system, high-pressure EGR system and variable geometry turbocharger was modified to allow for port fuel injection with gasoline. Engine-out emissions, engine performance and combustion behavior for RCCI operation is compared against both CDC and a premixed charge compression ignition (PCCI) strategy which relies on high levels of EGR dilution. The effect of percent of premixed gasoline, EGR rate, boost level, intake mixture temperature, combustion phasing and pressure rise rate is investigated for RCCI combustion for the light-duty modal points. Engine-out emissions of NOx and PM were found to be considerably lower for RCCI operation as compared to CDC and PCCI, while HC and CO emissions were higher. Brake thermal efficiency was similar or higher for many of the modal conditions for RCCI operation. The emissions results are used to estimate hot-start FTP-75 emissions levels with RCCI and are compared against CDC and PCCI modes.

Curran, Scott [ORNL; Briggs, Thomas E [ORNL; Cho, Kukwon [ORNL; Wagner, Robert M [ORNL

2011-01-01T23:59:59.000Z

124

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

Science Journals Connector (OSTI)

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

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

2012-01-01T23:59:59.000Z

125

Annual Energy Outlook 96 Assumptions  

Gasoline and Diesel Fuel Update (EIA)

for for the Annual Energy Outlook 1996 January 1996 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 Introduction This paper presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 1996 (AEO96). In this context, assumptions include general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports listed in the Appendix. 1 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview. The National Energy Modeling System The projections

126

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

SciTech Connect (OSTI)

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

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

2013-01-01T23:59:59.000Z

127

Assessment of the effect of low viscosity oils usage on a light duty diesel engine fuel consumption in stationary and transient conditions  

Science Journals Connector (OSTI)

Abstract Regarding the global warming due to CO2 emissions, the crude oil depletion and its corresponding rising prices, \\{OEMs\\} are exploring different solutions to increase the internal combustion engine efficiency, among which, the use of Low Viscosity Oils (LVO) represents one attractive cost-effective way to accomplish this goal. Reported in terms of fuel consumption, the effect of LVO is round 2%, depending on the test conditions, especially if the test has taken place in laboratory or on road conditions. This study presents the fuel consumption benefits of a commercial 5W20, compared against higher SAE grade oils, on a light duty diesel engine, when it is running under motored test, stationary fired test and the New European Driving Cycle (NEDC).

Vicente Macin; Bernardo Tormos; Vicente Bermdez; Leonardo Ramrez

2014-01-01T23:59:59.000Z

128

Effect of E85 on RCCI Performance and Emissions on a Multi-Cylinder Light-Duty Diesel Engine - SAE World Congress  

SciTech Connect (OSTI)

This paper investigates the effect of E85 on load expansion and FTP modal point emissions indices under reactivity controlled compression ignition (RCCI) operation on a light-duty multi-cylinder diesel engine. A General Motors (GM) 1.9L four-cylinder diesel engine with the stock compression ratio of 17.5:1, common rail diesel injection system, high-pressure exhaust gas recirculation (EGR) system and variable geometry turbocharger was modified to allow for port fuel injection with gasoline or E85. Controlling the fuel reactivity in-cylinder by the adjustment of the ratio of premixed low-reactivity fuel (gasoline or E85) to direct injected high reactivity fuel (diesel fuel) has been shown to extend the operating range of high-efficiency clean combustion (HECC) compared to the use of a single fuel alone as in homogeneous charge compression ignition (HCCI) or premixed charge compression ignition (PCCI). The effect of E85 on the Ad-hoc federal test procedure (FTP) modal points is explored along with the effect of load expansion through the light-duty diesel speed operating range. The Ad-hoc FTP modal points of 1500 rpm, 1.0bar brake mean effective pressure (BMEP); 1500rpm, 2.6bar BMEP; 2000rpm, 2.0bar BMEP; 2300rpm, 4.2bar BMEP; and 2600rpm, 8.8bar BMEP were explored. Previous results with 96 RON unleaded test gasoline (UTG-96) and ultra-low sulfur diesel (ULSD) showed that with stock hardware, the 2600rpm, 8.8bar BMEP modal point was not obtainable due to excessive cylinder pressure rise rate and unstable combustion both with and without the use of EGR. Brake thermal efficiency and emissions performance of RCCI operation with E85 and ULSD is explored and compared against conventional diesel combustion (CDC) and RCCI operation with UTG 96 and ULSD.

Curran, Scott [ORNL; Hanson, Reed M [ORNL; Wagner, Robert M [ORNL

2012-01-01T23:59:59.000Z

129

Full documents available at: http://www.epa.gov/otaq/climate/regulations.htm EPA's section of the Preamble for the Light-Duty GHG Rule (see pp. 388-396)  

E-Print Network [OSTI]

of the Preamble for the Light-Duty GHG Rule (see pp. 388-396) III.H. What are the Estimated Cost, Economic, and Other Impacts of the Program? In this section, EPA presents the costs and impacts of EPA's GHG program. It is important to note that NHTSA's CAFE standards and EPA's GHG standards will both be in effect, and each

Edwards, Paul N.

130

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, sport utility vehicles and vans), commercial light trucks (8501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger airplanes, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

131

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

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

132

Simulating the Impact of Premixed Charge Compression Ignition on Light-Duty Diesel Fuel Economy and Emissions of Particulates and NOx  

SciTech Connect (OSTI)

We utilize the Powertrain Systems Analysis Toolkit (PSAT) combined with transient engine and aftertreatment component models implemented in Matlab/Simulink to simulate the effect of premixed charge compression ignition (PCCI) on the fuel economy and emissions of light-duty diesel-powered conventional and hybrid electric vehicles (HEVs). Our simulated engine is capable of both conventional diesel combustion (CDC) and premixed charge compression ignition (PCCI) over real transient driving cycles. Our simulated aftertreatment train consists of a diesel oxidation catalyst (DOC), lean NOx trap (LNT), and catalyzed diesel particulate filter (DPF). The results demonstrate that, in the simulated conventional vehicle, PCCI can significantly reduce fuel consumption and emissions by reducing the need for LNT and DPF regeneration. However, the opportunity for PCCI operation in the simulated HEV is limited because the engine typically experiences higher loads and multiple stop-start transients that are outside the allowable PCCI operating range. Thus developing ways of extending the PCCI operating range combined with improved control strategies for engine and emissions control management will be especially important for realizing the potential benefits of PCCI in HEVs.

Gao, Zhiming [ORNL; Daw, C Stuart [ORNL; Wagner, Robert M [ORNL; Edwards, Kevin Dean [ORNL; Smith, David E [ORNL

2013-01-01T23:59:59.000Z

133

Experimental Investigation of the Effects of Fuel Characteristics on High Efficiency Clean Combustion (HECC) in a Light-Duty Diesel Engine  

SciTech Connect (OSTI)

An experimental study was performed to understand fuel property effects on low temperature combustion (LTC) processes in a light-duty diesel engine. These types of combustion modes are often collectively referred to as high efficiency clean combustion (HECC). A statistically designed set of research fuels, the Fuels for Advanced Combustion Engines (FACE), were used for this study. Engine conditions consistent with low speed cruise (1500 rpm, 2.6 bar BMEP) were chosen for investigating fuel property effects on HECC operation in a GM 1.9-L common rail diesel engine. The FACE fuel matrix includes nine combinations of fuel properties including cetane number (30 to 55), aromatic contents (20 to 45 %), and 90 % distillation temperature (270 to 340 C). HECC operation was achieved with high levels of EGR and adjusting injection parameters, e.g. higher fuel rail pressure and single injection event, which is also known as Premixed Charge Compression Ignition (PCCI) combustion. Engine performance, pollutant emissions, and details of the combustion process are discussed in this paper. Cetane number was found to significantly affect the combustion process with variations in the start of injection (SOI) timing, which revealed that the ranges of SOI timing for HECC operation and the PM emission levels were distinctively different between high cetane number (55) and low cetane number fuels (30). Low cetane number fuels showed comparable levels of regulated gas emissions with high cetane number fuels and had an advantage in PM emissions.

Cho, Kukwon [ORNL; Han, Manbae [ORNL; Wagner, Robert M [ORNL; Sluder, Scott [ORNL

2009-01-01T23:59:59.000Z

134

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

SciTech Connect (OSTI)

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

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

2007-12-01T23:59:59.000Z

135

Transportation Energy Futures Series: Non-Cost Barriers to Consumer Adoption of New Light-Duty Vehicle Technologies  

SciTech Connect (OSTI)

Consumer preferences are key to the adoption of new vehicle technologies. Barriers to consumer adoption include price and other obstacles, such as limited driving range and charging infrastructure; unfamiliarity with the technology and uncertainty about direct benefits; limited makes and models with the technology; reputation or perception of the technology; standardization issues; and regulations. For each of these non-cost barriers, this report estimates an effective cost and summarizes underlying influences on consumer preferences, approximate magnitude and relative severity, and assesses potential actions, based on a comprehensive literature review. While the report concludes that non-cost barriers are significant, effective cost and potential market share are very uncertain. Policies and programs including opportunities for drivers to test drive advanced vehicles, general public outreach and information programs, incentives for providing charging and fueling infrastructure, and development of technology standards were examined for their ability to address barriers, but little quantitative data exists on the effectiveness of these measures. This is one in a series of reports produced as a result of the Transportation Energy Futures project, a Department of Energy-sponsored multi-agency effort to pinpoint underexplored strategies for reducing GHGs and petroleum dependence related to transportation.

Stephens, T.

2013-03-01T23:59:59.000Z

136

Use of the Modified Light Duty Utility Arm to Perform Nuclear Waste Cleanup of Underground Waste Storage Tanks at Oak Ridge National Laboratory  

SciTech Connect (OSTI)

The Modified Light Duty Utility Arm (MLDUA) is a selectable seven or eight degree-of-freedom robot arm with a 16.5 ft (5.03 m) reach and a payload capacity of 200 lb. (90.72 kg). The utility arm is controlled in either joystick-based telerobotic mode or auto sequence robotics mode. The MLDUA deployment system deploys the utility arm vertically into underground radioactive waste storage tanks located at Oak Ridge National Laboratory. These tanks are constructed of gunite material and consist of two 25 ft (7.62 m) diameter tanks in the North Tank Farm and six 50 ft (15.24 m) diameter tanks in the South Tank Farm. After deployment inside a tank, the utility arm reaches and grasps the confined sluicing end effecter (CSEE) which is attached to the hose management arm (HMA). The utility arm positions the CSEE within the tank to allow the HMA to sluice the tank's liquid and solid waste from the tank. The MLDUA is used to deploy the characterization end effecter (CEE) and gunite scarifying end effecter (GSEE) into the tank. The CEE is used to survey the tank wall's radiation levels and the physical condition of the walls. The GSEE is used to scarify the tank walls with high-pressure water to remove the wall scale buildup and a thin layer of gunite which reduces the radioactive contamination that is embedded into the gunite walls. The MLDUA is also used to support waste sampling and wall core-sampling operations. Other tools that have been developed for use by the MLDUA include a pipe-plugging end effecter, pipe-cutting end effecter, and pipe-cleaning end effecter. Washington University developed advance robotics path control algorithms for use in the tanks. The MLDUA was first deployed in June 1997 and has operated continuously since then. Operational experience in the first four tanks remediated is presented in this paper.

Blank, J.A.; Burks, B.L.; DePew, R.E.; Falter, D.D.; Glassell, R.L.; Glover, W.H.; Killough, S.M.; Lloyd, P.D.; Love, L.J.; Randolph, J.D.; Van Hoesen, S.D.; Vesco, D.P.

1999-04-01T23:59:59.000Z

137

Experimental Investigation of Fuel-Reactivity Controlled Compression Ignition (RCCI) Combustion Mode in a Multi-Cylinder, Light-Duty Diesel Engine  

SciTech Connect (OSTI)

An experimental study was performed to provide the combustion and emission characteristics resulting from fuel-reactivity controlled compression ignition (RCCI) combustion mode utilizing dual-fuel approach in a light-duty, multi-cylinder diesel engine. In-cylinder fuel blending using port fuel injection of gasoline before intake valve opening (IVO) and early-cycle, direct injection of diesel fuel was used as the charge preparation and fuel blending strategy. In order to achieve the desired auto-ignition quality through the stratification of the fuel-air equivalence ratio ( ), blends of commercially available gasoline and diesel fuel were used. Engine experiments were performed at an engine speed of 2300rpm and an engine load of 4.3bar brake mean effective pressure (BMEP). It was found that significant reduction in both nitrogen oxide (NOx) and particulate matter (PM) was realized successfully through the RCCI combustion mode even without applying exhaust gas recirculation (EGR). However, high carbon monoxide (CO) and hydrocarbon (HC) emissions were observed. The low combustion gas temperature during the expansion and exhaust processes seemed to be the dominant source of high CO emissions in the RCCI combustion mode. The high HC emissions during the RCCI combustion mode could be due to the increased combustion quenching layer thickness as well as the -stratification at the periphery of the combustion chamber. The slightly higher brake thermal efficiency (BTE) of the RCCI combustion mode was observed than the other combustion modes, such as the conventional diesel combustion (CDC) mode, and single-fuel, premixed charge compression ignition (PCCI) combustion mode. The parametric study of the RCCI combustion mode revealed that the combustion phasing and/or the peak cylinder pressure rise rate of the RCCI combustion mode could be controlled by several physical parameters premixed ratio (rp), intake swirl intensity, and start of injection (SOI) timing of directly injected fuel unlike other low temperature combustion (LTC) strategies.

Cho, Kukwon [ORNL] [ORNL; Curran, Scott [ORNL] [ORNL; Prikhodko, Vitaly Y [ORNL] [ORNL; Sluder, Scott [ORNL] [ORNL; Parks, II, James E [ORNL; Wagner, Robert M [ORNL] [ORNL

2011-01-01T23:59:59.000Z

138

Light Duty Combustion Research: Advanced Light-Duty Combustion Experiments  

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.

139

Light Duty Combustion Research: Advanced Light-Duty Combustion...  

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

reactor simulations with detailed chemistry clarified expected impact of , T, and EGR rate on CO and UHC oxidation Clearance volume CO and UHC measurements identify...

140

Light Duty Vehicle CNG Tanks  

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

Vehicle CNG Tanks Dane A. Boysen, PhD Program Director Advanced Research Projects Agency-Energy, US DOE dane.boysen@doe.gov Fiber Reinforced Polymer Composite Manufacturing...

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141

Light Duty Efficient Clean Combustion  

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

fuel efficiency over the FTP city drive cycle by 10.5% over today's state-of-the-art diesel engine. Develop & design an advanced combustion system that synergistically meets...

142

Assumptions to the Annual Energy Outlook 2013  

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

Introduction Introduction This page inTenTionally lefT blank 3 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2013 [1] (AEO2013), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports [2]. The National Energy Modeling System Projections in the AEO2013 are generated using the NEMS, developed and maintained by the Office of Energy Analysis of the U.S.

143

Assumptions  

Gasoline and Diesel Fuel Update (EIA)

to the to the Annual Energy Outlook 1998 December 1997 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Household Expenditures Module. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Commercial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 Oil and Gas Supply Module

144

Assumptions  

Gasoline and Diesel Fuel Update (EIA)

1 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Commercial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82 Natural Gas Transmission and Distribution Module . . . . . . . . . . . . . . . . . . . . . . . . . . . 92 Petroleum Market Module. . . . . . . . . . . . .

145

Section 25: Future State Assumptions  

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

the Compliance Certification Application (CCA), Chapter 6.0, Section 6.2 and Appendices SCR and MASS (U.S. DOE 1996). Many of these future state assumptions were derived from the...

146

Assessment of costs and benefits of flexible and alternative fuel use in the U.S. transportation sector. Technical report fourteen: Market potential and impacts of alternative fuel use in light-duty vehicles -- A 2000/2010 analysis  

SciTech Connect (OSTI)

In this report, estimates are provided of the potential, by 2010, to displace conventional light-duty vehicle motor fuels with alternative fuels--compressed natural gas (CNG), liquefied petroleum gas (LPG), methanol from natural gas, ethanol from grain and from cellulosic feedstocks, and electricity--and with replacement fuels such as oxygenates added to gasoline. The 2010 estimates include the motor fuel displacement resulting both from government programs (including the Clean Air Act and EPACT) and from potential market forces. This report also provides an estimate of motor fuel displacement by replacement and alterative fuels in the year 2000. However, in contrast to the 2010 estimates, the year 2000 estimate is restricted to an accounting of the effects of existing programs and regulations. 27 figs., 108 tabs.

NONE

1996-01-01T23:59:59.000Z

147

Assumptions to the Annual Energy Outlook - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumption to the Annual Energy Outlook Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20041 (AEO2004), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview3, which is updated once every two years. The National Energy Modeling System The projections in the AEO2004 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the midterm time period and perform policy analyses requested by decisionmakers in the U.S. Congress, the Administration, including DOE Program Offices, and other government agencies.

148

Idaho National Engineering Laboratory installation roadmap assumptions document. Revision 1  

SciTech Connect (OSTI)

This document is a composite of roadmap assumptions developed for the Idaho National Engineering Laboratory (INEL) by the US Department of Energy Idaho Field Office and subcontractor personnel as a key element in the implementation of the Roadmap Methodology for the INEL Site. The development and identification of these assumptions in an important factor in planning basis development and establishes the planning baseline for all subsequent roadmap analysis at the INEL.

Not Available

1993-05-01T23:59:59.000Z

149

Assumptions to the Annual Energy Outlook 1999 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

transportation.gif (5318 bytes) transportation.gif (5318 bytes) The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, industry sport utility vehicles and vans), commercial light trucks (8501-10,000 lbs), freight trucks (>10,000 lbs), freight and passenger airplanes, freight rail, freight shipping, mass transit, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

150

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20031 (AEO2003), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3 The National Energy Modeling System The projections in the AEO2003 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the midterm time period and perform policy analyses requested by decisionmakers and analysts in the U.S. Congress, the Department of Energy’s Office of Policy and International Affairs, other DOE offices, and other government agencies.

151

Assumptions to the Annual Energy Outlook 2013  

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

Macroeconomic Activity Module Macroeconomic Activity Module This page inTenTionally lefT blank 17 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents interactions between the U.S. economy and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP), is a key determinant of growth in the demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected

152

Assumptions to Annual Energy Outlook - Energy Information Administration  

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

Assumptions to AEO2013 Assumptions to AEO2013 Release Date: May 14, 2013 | Next Release Date: May 2014 | full report Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2013 [1] (AEO2013), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports [2]. The National Energy Modeling System Projections in the AEO2013 are generated using the NEMS, developed and maintained by the Office of Energy Analysis of the U.S. Energy Information Administration (EIA). In addition to its use in developing the Annual

153

Assumptions to Annual Energy Outlook - Energy Information Administration  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to AEO2012 Assumptions to AEO2012 Release Date: August 2, 2012 | Next Release Date: August 2013 | Full report Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2012 [1] (AEO2012), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports [2]. The National Energy Modeling System The projections in AEO2012 are generated using the NEMS, developed and maintained by the Office of Energy Analysis (OEA) of the U.S. Energy Information Administration (EIA). In addition to its use in developing the

154

Mobility chains analysis of technologies for passenger cars and light duty vehicles fueled with biofuels : application of the Greet model to project the role of biomass in America's energy future (RBAEF) project.  

SciTech Connect (OSTI)

The Role of Biomass in America's Energy Future (RBAEF) is a multi-institution, multiple-sponsor research project. The primary focus of the project is to analyze and assess the potential of transportation fuels derived from cellulosic biomass in the years 2015 to 2030. For this project, researchers at Dartmouth College and Princeton University designed and simulated an advanced fermentation process to produce fuel ethanol/protein, a thermochemical process to produce Fischer-Tropsch diesel (FTD) and dimethyl ether (DME), and a combined heat and power plant to co-produce steam and electricity using the ASPEN Plus{trademark} model. With support from the U.S. Department of Energy (DOE), Argonne National Laboratory (ANL) conducted, for the RBAEF project, a mobility chains or well-to-wheels (WTW) analysis using the Greenhouse gases, Regulated Emissions, and Energy use in Transportation (GREET) model developed at ANL. The mobility chains analysis was intended to estimate the energy consumption and emissions associated with the use of different production biofuels in light-duty vehicle technologies.

Wu, M.; Wu, Y.; Wang, M; Energy Systems

2008-01-31T23:59:59.000Z

155

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

States. States. OGSM encompasses domestic crude oil and natural gas supply by both conventional and nonconventional recovery techniques. Nonconventional recovery includes unconventional gas recovery from low permeability formations of sandstone and shale, and coalbeds. Energy Information Administration/Assumptions to the Annual Energy Outlook 2007 93 Figure 7. Oil and Gas Supply Model Regions Source: Energy Information Administration, Office of Integrated Analysis and Forecasting. Report #:DOE/EIA-0554(2007) Release date: April 2007 Next release date: March 2008 Primary inputs for the module are varied. One set of key assumptions concerns estimates of domestic technically recoverable oil and gas resources. Other factors affecting the projection include the assumed

156

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Household Expenditures Module Household Expenditures Module The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and demographic characteristics, and consumption and expenditures for fuels for various end-uses. These data are combined with NEMS forecasts of household disposable income, fuel consumption, and fuel expenditures by end-use and household type. The HEM disaggregation algorithm uses these combined results to forecast household fuel consumption and expenditures by income quintile and Census Division. Key Assumptions The historical input data used to develop the HEM version for the AEO2003 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2003 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS).

157

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2003, DOE/EIA-M060(2003) (Washington, DC, January 2003). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves addresses the relationship between the minemouth price of coal and corresponding levels of capacity utilization of mines, mining capacity, labor productivity, and the cost of factor inputs (mining equipment, mine labor, and fuel requirements).

158

Assumptions to the Annual Energy Outlook 1999 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

link.gif (1946 bytes) link.gif (1946 bytes) bullet1.gif (843 bytes) Assumptions to the AEO99 bullet1.gif (843 bytes) Supplemental Tables to the AEO99 bullet1.gif (843 bytes) To Forecasting Home Page bullet1.gif (843 bytes) EIA Homepage introduction.gif (4117 bytes) This paper presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 19991 (AEO99), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3

159

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumptions to the Annual Energy Outlook 2006 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20061 (AEO2006), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview3, which is updated once every few years. The National Energy Modeling System

160

Assumptions to the Annual Energy Outlook 2000 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

Key Assumptions Key Assumptions The historical input data used to develop the HEM version for the AEO2000 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2000 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS). HEM uses the consumption forecast by NEMS for the residential and transportation sectors as inputs to the disaggregation algorithm that results in the direct fuel expenditure analysis. Household end-use and personal transportation service consumption are obtained by HEM from the NEMS Residential and Transportation Demand Modules. Household disposable income is adjusted with forecasts of total disposable income from the NEMS Macroeconomic Activity Module.

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While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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161

NGV and FCV Light Duty Transportation Perspective  

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

transportation perspectives Matt Fronk, Matt Fronk & Associates, LLC 1 OctOber 2011 | ArgOnne nAtiOnAl lAbOrAtOry NG Workshop summary report - appeNDIX G 2 OctOber 2011 | ArgOnne...

162

Business Case for Light-Duty Diesels  

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

(NSC) 12 Cost of Diesel Systems Aftertreatment - components SCR has a high NOx conversion rate and good durability Potential exists for Bin 5 for light trucks up to 8,500 lbs...

163

Advanced Technology Light Duty Diesel Aftertreatment System ...  

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

Approach to Low Temperature NOx Emission Abatement Cummins' Next Generation Tier 2, Bin 2 Light Truck Diesel Engine ATP-LD; Cummins Next Generation Tier 2 Bin 2 Diesel Engine...

164

Advanced Technology Light Duty Diesel Aftertreatment System  

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

Dearborn, MI T2B2 FTP-75 NOx Cycle Limit http:www.dieselnet.comstandardscyclesftp75.php ATLAS T2B2 AT Strategy Summary 1162012 U.S. Department of Energy DEER 2012 -...

165

EIA - Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

7 7 Assumptions to the Annual Energy Outlook 2007 This report summarizes the major assumptions used in the NEMS to generate the AEO2007 projections. Contents (Complete Report) Download complete Report. Need help, contact the National Energy Information Center at 202-586-8800. Introduction Introduction Section to the Assumptions to the Annual Energy Outlook 2007 Report. Need help, contact the National Energy Information Center at 202-586-8800. Introduction Section to the Assumptions to the Annual Energy Outlook 2007 Report. Need help, contact the National Energy Information Center at 202-586-8800. Macroeconomic Activity Module Macroeconomic Activity Module Section to the Assumptions to the Annual Energy Outlook 2007 Report. Need help, contact the National Energy Information Center at 202-586-8800.

166

Climate Action Planning Tool Formulas and Assumptions  

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

CLIMATE ACTION PLANNING TOOL FORMULAS AND ASSUMPTIONS Climate Action Planning Tool Formulas and Assumptions The Climate Action Planning Tool calculations use the following formulas and assumptions to generate the business-as-usual scenario and the greenhouse gas emissions reduction goals for the technology options. Business-as-Usual Scenario All Scope 1 (gas, oil, coal, fleet, and electricity) and Scope 2 calculations increase at a rate equal to the building growth rate. Scope 3 calculations (commuters and business travel) increase at a rate equal to the population growth rate. Assumptions New buildings will consume energy at the same rate (energy use intensity) as existing campus buildings. Fleet operations will be proportional to total building area.

167

Assumptions to the Annual Energy Outlook 2002 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20021 (AEO2002), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3 The National Energy Modeling System The projections in the AEO2002 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of

168

Assumptions to the Annual Energy Outlook 2001 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Outlook2001 Outlook2001 Supplemental Data to the AEO2001 NEMS Conference To Forecasting Home Page EIA Homepage Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20011 (AEO2001), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3 The National Energy Modeling System The projections in the AEO2001 were produced with the National Energy

169

Assumptions to the Annual Energy Outlook 2013  

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

Assumptions to the Annual Assumptions to the Annual Energy Outlook 2013 May 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies. Table of Contents Introduction .................................................................................................................................................. 3

170

EIA - Assumptions to the Annual Energy Outlook 2010 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumptions to the Annual Energy Outlook 2010 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2010 [1] (AEO2010), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports [2]. The National Energy Modeling System The projections in the AEO2010 were produced with the NEMS, which is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the long term and perform policy analyses requested by decisionmakers in the White House, U.S. Congress, offices within the Department of Energy, including DOE Program Offices, and other government agencies. The Annual Energy Outlook (AEO) projections are also used by analysts and planners in other government agencies and outside organizations.

171

EIA - Assumptions to the Annual Energy Outlook 2008 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumptions to the Annual Energy Outlook 2008 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20081 (AEO2008), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 The National Energy Modeling System The projections in the AEO2008 were produced with the NEMS, which is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the long term and perform policy analyses requested by decisionmakers in the White House, U.S. Congress, offices within the Department of Energy, including DOE Program Offices, and other government agencies. The AEO projections are also used by analysts and planners in other government agencies and outside organizations.

172

EIA - Assumptions to the Annual Energy Outlook 2009 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumptions to the Annual Energy Outlook 2009 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2009 (AEO2009),1 including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 The National Energy Modeling System The projections in the AEO2009 were produced with the NEMS, which is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the long term and perform policy analyses requested by decisionmakers in the White House, U.S. Congress, offices within the Department of Energy, including DOE Program Offices, and other government agencies. The Annual Energy Outlook (AEO) projections are also used by analysts and planners in other government agencies and outside organizations.

173

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

7), 7), (Washington, DC, January 2007). Key Assumptions The output of the U.S. economy, measured by GDP, is expected to increase by 2.9 percent between 2005 and 2030 in the reference case. Two key factors help explain the growth in GDP: the growth rate of nonfarm employment and the rate of productivity change associated with employment. As Table 3 indicates, for the Reference Case GDP growth slows down in each of the periods identified, from 3.0 percent between 2005 and 2010, to 2.9 percent between 2010 and 2020, to 2.8 percent in the between 2020 and 2030. In the near term from 2005 through 2010, the growth in nonfarm employment is low at 1.2 percent compared with 2.4 percent in the second half of the 1990s, while the economy is expected to experiencing relatively strong

174

Assumptions to the Annual Energy Outlook 2008  

Gasoline and Diesel Fuel Update (EIA)

8) 8) Release date: June 2008 Next release date: March 2009 Assumptions to the Annual Energy Outlook 2008 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 Commercial Demand Module. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97 Natural Gas Transmission and Distribution Module. . . . . . . . . . . . . . . . . . . . . . 113 Petroleum Market Module

175

Preliminary Assumptions for Natural Gas Peaking  

E-Print Network [OSTI]

Preliminary Assumptions for Natural Gas Peaking Technologies Gillian Charles and Steve Simmons GRAC, Reciprocating Engines Next steps 2 #12;Definitions Baseload Energy: power generated (or conserved) across a period of time to serve system demands for electricity Peaking Capacity: capability of power generating

176

Preliminary Assumptions for Natural Gas Peaking  

E-Print Network [OSTI]

Preliminary Assumptions for Natural Gas Peaking Technologies Gillian Charles GRAC 2/27/14 #12;Today Vernon, WA PSE Klamath Generation Peakers June 2002 (2) 54 MW P&W FT8 Twin- pac 95 MW Klamath, OR IPP; winter-only PPA w/ PSE Dave Gates Generating Station Jan 2011 (3) P&W SWIFTPAC 150 MW Anaconda, MT North

177

Empirically Revisiting the Test Independence Assumption  

E-Print Network [OSTI]

Empirically Revisiting the Test Independence Assumption Sai Zhang, Darioush Jalali, Jochen Wuttke}@cs.washington.edu ABSTRACT In a test suite, all the test cases should be independent: no test should affect any other test's result, and running the tests in any order should produce the same test results. Techniques such as test

Ernst, Michael

178

A new scenario framework for climate change research: The concept of Shared Climate Policy Assumptions  

SciTech Connect (OSTI)

The paper presents the concept of shared climate policy assumptions as an important element of the new scenario framework. Shared climate policy assumptions capture key climate policy dimensions such as the type and scale of mitigation and adaptation measures. They are not specified in the socio-economic reference pathways, and therefore introduce an important third dimension to the scenario matrix architecture. Climate policy assumptions will have to be made in any climate policy scenario, and can have a significant impact on the scenario description. We conclude that a meaningful set of shared climate policy assumptions is useful for grouping individual climate policy analyses and facilitating their comparison. Shared climate policy assumptions should be designed to be policy relevant, and as a set to be broad enough to allow a comprehensive exploration of the climate change scenario space.

Kriegler, Elmar; Edmonds, James A.; Hallegatte, Stephane; Ebi, Kristie L.; Kram, Tom; Riahi, Keywan; Winkler, Harald; Van Vuuren, Detlef

2014-04-01T23:59:59.000Z

179

Assumptions to the Annual Energy Outlook 2013  

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

Energy Module Energy Module This page inTenTionally lefT blank 21 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 International Energy Module The LFMM International Energy Module (IEM) simulates the interaction between U.S. and global petroleum markets. It uses assumptions of economic growth and expectations of future U.S. and world crude-like liquids production and consumption to estimate the effects of changes in U.S. liquid fuels markets on the international petroleum market. For each year of the forecast, the LFMM IEM computes BRENT and WTI prices, provides a supply curve of world crude-like liquids, and generates a worldwide oil supply- demand balance with regional detail. The IEM also provides, for each year of the projection period, endogenous and

180

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to the Annual Energy Outlook 2004 Assumptions to the Annual Energy Outlook 2004 143 Appendix A: Handling of Federal and Selected State Legislation and Regulation in the Annual Energy Outlook Legislation Brief Description AEO Handling Basis Residential Sector A. National Appliance Energy Conservation Act of 1987 Requires Secretary of Energy to set minimum efficiency standards for 10 appliance categories a. Room Air Conditioners Current standard of 8.82 EER Federal Register Notice of Final Rulemaking, b. Other Air Conditioners (<5.4 tons) Current standard 10 SEER for central air conditioner and heat pumps, increasing to 12 SEER in 2006. Federal Register Notice of Final Rulemaking, c. Water Heaters Electric: Current standard .86 EF, incr easing to .90 EF in 2004. Gas: Curren

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


181

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution network that links them. In addition, natural gas flow patterns are a function of the pattern in the previous year, coupled with the relative prices of gas supply options as translated to the represented market “hubs.” The major assumptions used within the NGTDM are grouped into five general categories. They relate to (1) the classification of demand into core and noncore transportation service classes, (2) the pricing of transmission and distribution services, (3) pipeline and storage capacity expansion and utilization, and (4) the implementation of recent regulatory reform. A complete listing of NGTDM assumptions and in-depth methodology descriptions are presented in Model Documentation: Natural Gas Transmission and Distribution Model of the National Energy Modeling System, Model Documentation 2003, DOE/EIA- M062(2003) (Washington, DC, January 2003).

182

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2003, DOE/EIA-M068(2003) April 2003. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

183

Assumptions to the Annual Energy Outlook 2000 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction This paper presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20001 (AEO2000), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3 The National Energy Modeling System The projections in the AEO2000 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the midterm time period and perform policy analyses requested by decisionmakers and analysts in the U.S. Congress, the Department of Energy’s Office of Policy, other DOE offices, and other government agencies.

184

Assumptions to the Annual Energy Outlook - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module Assumption to the Annual Energy Outlook Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2004, DOE/EIA-M060(2004) (Washington, DC, 2004). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves addresses the relationship between the minemouth price of coal and corresponding levels of capacity utilization of mines, mining capacity, labor productivity, and the cost of factor inputs (mining equipment, mine labor, and fuel requirements).

185

EIA-Assumptions to the Annual Energy Outlook - Macroeconomic Activity  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module Assumptions to the Annual Energy Outlook 2007 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2007), (Washington, DC, January 2007).

186

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

7 7 1 (AEO2007), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant to formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports. 2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview 3 , which is updated once every few years. The National Energy Modeling System The projections in the AEO2007 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the long term and

187

EIA - Assumptions to the Annual Energy Outlook 2009 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module Assumptions to the Annual Energy Outlook 2010 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Document>ation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2009), (Washington, DC, January 2009).

188

Assumptions to the Annual Energy Outlook 2001 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

Completed Copy in PDF Format Completed Copy in PDF Format Related Links Annual Energy Outlook2001 Supplemental Data to the AEO2001 NEMS Conference To Forecasting Home Page EIA Homepage Household Expenditures Module Key Assumptions The historical input data used to develop the HEM version for the AEO2001 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2001 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS). HEM uses the consumption forecast by NEMS for the residential and

189

Assumptions to the Annual Energy Outlook 1999 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

coal.gif (4423 bytes) coal.gif (4423 bytes) The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Model Documentation: Coal Market Module of the National Energy Modeling System, DOE/EIA-MO60. Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions, and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves addresses the relationship between the minemouth price of coal and corresponding levels of coal production, labor productivity, and the cost of factor inputs (mining equipment, mine labor, and fuel requirements).

190

Assumptions to the Annual Energy Outlook 2001 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2001, DOE/EIA-M060(2001) January 2001. Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions, and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves

191

EIA - Assumptions to the Annual Energy Outlook 2008 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module Assumptions to the Annual Energy Outlook 2008 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2007), (Washington, DC, January 2007).

192

EIA - Assumptions to the Annual Energy Outlook 2009 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module Assumptions to the Annual Energy Outlook 2009 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2008), (Washington, DC, January 2008).

193

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

7, DOE/EIA-M060(2007) (Washington, 7, DOE/EIA-M060(2007) (Washington, DC, 2007). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Forty separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations of thermal grade and sulfur content), and two mine types (underground and surface). Supply curves are constructed using an econometric formulation that relates the minemouth prices of coal for the supply regions and coal types to a set of independent variables. The independent variables include: capacity utilization of mines, mining capacity, labor productivity, the user cost of capital of mining equipment, and the cost of factor inputs (labor and fuel).

194

Assumptions to the Annual Energy Outlook 2002 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2002, DOE/EIA-M060(2002) (Washington, DC, January 2002). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves

195

Manufacturing Energy and Carbon Footprint Definitions and Assumptions, October 2012  

Broader source: Energy.gov [DOE]

Definitions of parameters and table of assumptions for the Manufacturing Energy and Carbon Footprint

196

Key Outcomes:  

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

Key Points & Action Items Key Points & Action Items Inaugural Meeting Thursday, August 25, 2011 Renaissance Denver Hotel Denver, Colorado Participants Tracey LeBeau, Director, Pilar Thomas, Deputy Director, and Brandt Petrasek, Special Assistant, Department of Energy, Office of Indian Energy Policy and Programs; Vice Chairman Ronald Suppah and Jim Manion, Confederated Tribes of the Warm Springs Reservation of Oregon; William Micklin, Ewiiaapaayp Band of Kumeyaay Indians; Councilman Barney Enos, Jr., Jason Hauter, Gila River Indian Community; Mato Standing High, Rosebud Sioux Tribe; R. Allen Urban, Yocha Dehe Wintun Nation; Glen Andersen, Scott Hendrick, Brooke Oleen, Jacquelyn Pless, Jim Reed and Julia Verdi, National Conference of State Legislatures-staff

197

Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and  

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

Tools Tools Printable Version Share this resource Send a link to Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology to someone by E-mail Share Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Facebook Tweet about Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Twitter Bookmark Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Google Bookmark Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Delicious Rank Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Digg Find More places to share Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on AddThis.com...

198

Assumptions to the Annual Energy Outlook - Contacts  

Gasoline and Diesel Fuel Update (EIA)

Contacts Contacts Assumption to the Annual Energy Outlook Contacts Specific questions about the information in this report may be directed to: Introduction Paul D. Holtberg 202/586-1284 Macroeconomic Activity Module Ronald F. Earley Yvonne Taylor 202/586-1398 202/586-1398 International Energy Module G. Daniel Butler 202/586-9503 Household Expenditures Module/ Residential Demand Module John H. Cymbalsky 202/586-4815 Commercial Demand Module Erin E. Boedecker 202/586-4791 Industrial Demand Module T. Crawford Honeycutt 202/586-1420 Transportation Demand Module John D. Maples 202/586-1757 Electricity Market Module Laura Martin 202/586-1494 Oil and Gas Supply Module/Natural Gas Transmission and Distribution Module Joseph Benneche 202/586-6132 Petroleum Market Module Bill Brown 202/586-8181

199

Assumptions to the Annual Energy Outlook 2013  

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

Demand Module Demand Module This page inTenTionally lefT blank 27 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Residential Demand Module The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" (UEC) by appliance (in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing

200

Assumptions to the Annual Energy Outlook 2013  

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

Industrial Demand Module Industrial Demand Module This page inTenTionally lefT blank 53 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Industrial Demand Module The NEMS Industrial Demand Module (IDM) estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are subdivided further into the energy- intensive manufacturing industries and non-energy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure. The non-manufacturing industries are modeled with less detail because processes are simpler and there is less available data. The petroleum refining

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


201

Assumptions to the Annual Energy Outlook 2013  

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

Demand Module Demand Module This page inTenTionally lefT blank 39 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2040. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial.

202

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module The NEMS Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohol and ethers, natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. The PMM contains a linear programming representation of refining activities in three U.S. regions. This representation provides the marginal costs of production for a number of traditional and new petroleum products. The linear programming results are used to determine end-use product prices for each Census Division using the assumptions and methods described below.106

203

2010 Manufacturing Energy and Carbon Footprints: Definitions and Assumptions  

Broader source: Energy.gov [DOE]

This 13-page document provides definitions and assumptions used in the Manufacturing Energy and Carbon Footprints (MECS 2010)

204

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2003), (Washington, DC, January 2003).

205

Assumptions to the Annual Energy Outlook 2000 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2000, DOE/EIA-M060(2000) January 2000. The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2000, DOE/EIA-M060(2000) January 2000. Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions, and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves addresses the relationship between the minemouth price of coal and corresponding levels of coal production, labor productivity, and the cost of factor inputs (mining equipment, mine labor, and fuel requirements).

206

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2006, DOE/EIA-M060(2006) (Washington, DC, 2006). Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2006, DOE/EIA-M060(2006) (Washington, DC, 2006). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Forty separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations of thermal grade and sulfur content), and two mine types (underground and surface). Supply curves are constructed using an econometric formulation that relates the minemouth prices of coal for the supply regions and coal types to a set of independent variables. The independent variables include: capacity utilization of mines, mining capacity, labor productivity, the user cost of capital of mining equipment, and the cost of factor inputs (labor and fuel).

207

EIA - Assumptions to the Annual Energy Outlook 2010  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to the Annual Energy Outlook 2010 This report summarizes the major assumptions used in the NEMS to generate the AEO2010 projections. Introduction Macroeconomic Activity Module International Energy Module Residential Demand Module Commercial Demand Module Industrial Demand Module Transportation Demand Module Electricity Market Module Oil and Gas Supply Module Natural Gas Transmission and Distribution Module Petroleum Market Module Coal Market Module Renewable Fuels Module PDF (GIF) Appendix A: Handling of Federal and Selected State Legislation and Regulation In the Annual Energy Outlook Past Assumptions Editions Download the Report Assumptions to the Annual Energy Outlook 2010 Report Cover. Need help, contact the National Energy Information Center at 202-586-8800.

208

Assumption-Commitment Support for CSP Model Checking  

E-Print Network [OSTI]

AVoCS 2006 Assumption-Commitment Support for CSP Model Checking Nick Moffat1 Systems Assurance using CSP. In our formulation, an assumption-commitment style property of a process SYS takes the form-Guarantee, CSP, Model Checking, Compositional Reasoning 1 Introduction The principle of compositional program

Paris-Sud XI, Université de

209

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

6 6 Assumptions to the Annual Energy Outlook 2006 This report presents major assumptions of NEMS that are used to generate the projections in the AEO2006. Contents (Complete Report) Download complete Report. Need help, contact the National Energy Information Center at 202-586-8800. Introduction Introduction Section to the Assumptions to the Annual Energy Outlook 2006 Report. Need help, contact the National Energy Information Center at 202-586-8800. Introduction Section to the Assumptions to the Annual Energy Outlook 2006 Report. Need help, contact the National Energy Information Center at 202-586-8800. Macroeconomic Activity Module Macroeconomic Activity Module Section to the Assumptions to the Annual Energy Outlook 2006 Report. Need help, contact the National Energy Information Center at 202-586-8800.

210

EIA - Assumptions to the Annual Energy Outlook 2009  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to the Annual Energy Outlook 2009 The Early Release for next year's Annual Energy Outlook will be presented at the John Hopkins Kenney Auditorium on December 14th This report summarizes the major assumptions used in the NEMS to generate the AEO2009 projections. Introduction Macroeconomic Activity Module International Energy Module Residential Demand Module Commercial Demand Module Industrial Demand Module Transportation Demand Module Electricity Market Module Oil and Gas Supply Module Natural Gas Transmission and Distribution Module Petroleum Market Module Coal Market Module Renewable Fuels Module PDF (GIF) Appendix A: Handling of Federal and Selected State Legislation and Regulation In the Annual Energy Outlook Past Assumptions Editions

211

MONITORED GEOLOGIC REPOSITORY LIFE CYCLE COST ESTIMATE ASSUMPTIONS DOCUMENT  

SciTech Connect (OSTI)

The purpose of this assumptions document is to provide general scope, strategy, technical basis, schedule and cost assumptions for the Monitored Geologic Repository (MGR) life cycle cost (LCC) estimate and schedule update incorporating information from the Viability Assessment (VA) , License Application Design Selection (LADS), 1999 Update to the Total System Life Cycle Cost (TSLCC) estimate and from other related and updated information. This document is intended to generally follow the assumptions outlined in the previous MGR cost estimates and as further prescribed by DOE guidance.

R.E. Sweeney

2001-02-08T23:59:59.000Z

212

Notes 01. The fundamental assumptions and equations of lubrication theory  

E-Print Network [OSTI]

The fundamental assumption in Lubrication Theory. Derivation of thin film flow equations from Navier-Stokes equations. Importance of fluid inertia effects in thin film flows. Some fluid physical properties...

San Andres, Luis

2009-01-01T23:59:59.000Z

213

Alternative Fuels Data Center: Light-Duty Vehicle Search  

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

Fuel Type Fuel Type All Bi-Fuel Natural Gas (16) Bi-Fuel Propane (12) Biodiesel (B20) (11) Electric (13) Flex Fuel (E85) (91) Hybrid Electric (36) Hydrogen (3) Methanol (0) Natural Gas (4) Plug-in Hybrid Electric (10) Propane (2) Manufacturer All Acura (2) Audi (6) BMW (6) Bentley Motors (4) Buick (2) Cadillac (4) Chevrolet (25) Chrysler (3) Coda Automotive (0) Dodge (7) Fiat (1) Fisker Automotive (0) Ford (48) GMC (19) General Motors EV (0) HUMMER (0) Honda (8) Hyundai (2) Infiniti (4) Jaguar (6) Jeep (1) Kia (2) Land Rover (4) Lexus (5) Lincoln (2) Mazda (0) Mazda (0) McLaren (1) Mercedes-Benz (8) Mercury (0) Mitsubishi (1) Nissan (4) Plymouth (0) Porsche (2) QUANTUM-PROCON (0) Ram (5) Saab (0) Saturn (0) Scion (1) Smart (1) Solectria (0) Subaru (1) Tesla (1) Tesla Motors (0) Toyota (10) Vehicle

214

Light Duty Diesels in the United States - Some Perspectives ...  

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

Particulate Filters: Market Introducution in Europe Diesel Particulate Filter: A Success for Faurecia Exhaust Systems Aftertreatment Modeling Status, Futur Potential, and...

215

Thermoelectric Opportunities for Light-Duty Vehicles | Department...  

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

Heat Recovery Thermoelectric Activities of European Community within Framework Programme 7 and additional activities in Germany Automotive Thermoelectric Generator (TEG) Controls...

216

Light-Duty Diesel Market Potential in North America  

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

Diesel Engineering General Motors Corporation GM's Long Term Vision Remove the automobile from the energy & environmental equation Reduced Vehicle Emissions and Increased...

217

Methanol fumigation of a light duty automotive diesel engine  

SciTech Connect (OSTI)

An Oldsmobile 5.7 l V-8 diesel engine was fumigated with methanol in amounts up to 40% of the fuel energy. The primary objectives of this study were to determine the effect of methanol fumigation on fuel efficiency, smoke, nitric oxide emission, and the occurrence of severe knock. An assessment of the biological activity for samples of the raw exhaust particulate and its soluable organic extract was also made using both the Ames Salmonella typhimurium test and the Bacillus subtilis Comptest. Results are presented for a test matrix consisting of twelve steady state operating conditions chosen to reflect over-the-road operation of a diesel engine powered automobile. Generally methanol fumigation was found to decrease NO emission for all conditions, to have a slight effect on smoke opacity, and to have a beneficial effect on fuel efficiency at higher loads. Also at higher loads the methanol was found to induce what was defined as knock limited operation. While the biological activity of the raw particulate was generally found to be lower than that of the soluble organic fraction, the fumigation of methanol appears to enhance this activity in both cases.

Houser, K.R.; Lestz, S.S.; Dukovich, M.; Yasbin, R.E.

1980-01-01T23:59:59.000Z

218

Light Duty Diesels in the United States - Some Perspectives ...  

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

2005 Diesel Engine Emissions Reduction (DEER) Conference Presentations and Posters 2005deerjohnson.pdf More Documents & Publications Update on Diesel Exhaust Emission...

219

Light Duty Diesels in North America A Huge Opportunity  

Broader source: Energy.gov [DOE]

Presentation given at DEER 2006, August 20-24, 2006, Detroit, Michigan. Sponsored by the U.S. DOE's EERE FreedomCar and Fuel Partnership and 21st Century Truck Programs.

220

Light-duty Diesels: Clean Enough? | Department of Energy  

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

of 2010 Emissions Regulations over Transient Operation Diesel Passenger Car Technology for Low Emissions and CO2 Compliance 2008 Annual Merit Review Results Summary - 17. Acronyms...

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


221

Fuel Spray Research on Light-Duty Injection Systems  

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.

222

Fuel Spray Research on Light-Duty Injection Systems  

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.

223

Ultra-Low Sulfur diesel Update & Future Light Duty Diesel  

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

MILLION BBL PER DAY ULSD DISTRIBUTION SYSTEM INVENTORY 50% CONVERTED TO ULSD CONVERSIONS PROCEEDING ON SCHEDULE RETAIL INVENTORY IS BEING CONVERTED BY...

224

Light Duty Plug-in Hybrid Vehicle Systems Analysis  

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

Bennion, Aaron Brooker, Jeff Gonder, and Matt Thornton National Renewable Energy Laboratory 2009 DOE Vehicle Technologies Annual Merit Review May 19 th , 2009 Project ID:...

225

NREL: Vehicles and Fuels Research - Light-Duty Vehicle Thermal...  

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

and passenger thermal comfort. Analogous to crash-test dummies, these manikins measure heat loss and skin temperature through numerous sensors, making it possible to efficiently...

226

WORKSHOP REPORT:Light-Duty Vehicles Technical Requirements and...  

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

some body structure applications, such as shock towers, instrument panels, cross car beams, and interior components. However, to be useful in crash critical front-end...

227

Light Duty Fuel Cell Electric Vehicle Hydrogen Fueling Protocol  

Broader source: Energy.gov [DOE]

Webinar slides from the U.S. Department of Energy Fuel Cell Technologies Office webinar, "Hydrogen Refueling Protocols," held February 22, 2013.

228

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

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

DPF Regeneration Events Repeated partial regenerations may cause changes in the mechanical and chemical properties of the PM in the DPF. deer09dwyer.pdf More Documents &...

229

Light-Duty Lean GDI Vehicle Technology Benchmark | Department...  

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

Control for Lean Gasoline Engines Advanced PHEV Engine Systems and Emissions Control Modeling and Analysis Reductant Chemistry during LNT Regeneration for a Lean Gasoline Engine...

230

Organic Rankine Cycle for Light Duty Passenger Vehicles  

Broader source: Energy.gov [DOE]

Dynamic model of organic Rankine cycle with R245fa working fluid and conservative component efficiencies predict power generation in excess of electrical accessory load demand under highway drive cycle

231

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

7) 7) Release date: April 2007 Next release date: March 2008 Assumptions to the Annual Energy Outlook 2007 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Commercial Demand Module. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93 Natural Gas Transmission and Distribution Module. . . . . . . . . . . . . . . . . . . . . . 107 Petroleum Market Module

232

COMPARING ALASKA'S OIL PRODUCTION TAXES: INCENTIVES AND ASSUMPTIONS1  

E-Print Network [OSTI]

1 COMPARING ALASKA'S OIL PRODUCTION TAXES: INCENTIVES AND ASSUMPTIONS1 Matthew Berman In a recent analysis comparing the current oil production tax, More Alaska Production Act (MAPA, also known as SB 21 oil prices, production rates, and costs. He noted that comparative revenues are highly sensitive

Pantaleone, Jim

233

Reasoning by Assumption: Formalisation and Analysis of Human Reasoning Traces  

E-Print Network [OSTI]

for the traces acquired in experiments undertaken. 1 Introduction Practical reasoning processes are often not limited to single reasoning steps, but extend to traces or trajectories of a number of interrelated by assumption'. This (non-deductive) practical reasoning pattern in- volves a number of interrelated reasoning

Treur, Jan

234

Assumption Parish, Louisiana: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Assumption Parish, Louisiana: Energy Resources Assumption Parish, Louisiana: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 29.9232544°, -91.09694° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":29.9232544,"lon":-91.09694,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

235

PROJECT MANGEMENT PLAN EXAMPLES Policy & Operational Decisions, Assumptions  

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

Policy & Operational Decisions, Assumptions Policy & Operational Decisions, Assumptions and Strategies Examples 1 & 2 Example 1 1.0 Summary The 322-M Metallurgical Laboratory is currently categorized as a Radiological Facility. It is inactive with no future DOE mission. In May of 1998 it was ranked Number 45 in the Inactive Facilities Risk Ranking database which the Facilities Decommissioning Division maintains. A short-term surveillance and maintenance program is in-place while the facility awaits final deactivation. Completion of the end points described in this deactivation project plan will place the 322-M facility into an End State that can be described as "cold and dark". The facility will be made passively safe requiring minimal surveillance and no scheduled maintenance.

236

Cost and Performance Assumptions for Modeling Electricity Generation Technologies  

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

Cost and Performance Cost and Performance Assumptions for Modeling Electricity Generation Technologies Rick Tidball, Joel Bluestein, Nick Rodriguez, and Stu Knoke ICF International Fairfax, Virginia Subcontract Report NREL/SR-6A20-48595 November 2010 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. National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Cost and Performance Assumptions for Modeling Electricity Generation Technologies Rick Tidball, Joel Bluestein, Nick Rodriguez, and Stu Knoke ICF International Fairfax, Virginia NREL Technical Monitor: Jordan Macknick

237

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

7, DOE/EIA- 7, DOE/EIA- M068(2007). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described. EMM Regions The supply regions used in EMM are based on the North American Electric Reliability Council regions and

238

Assumptions to the Annual Energy Outlook 2000 - Errata  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to the Annual Energy Outlook 2000 Assumptions to the Annual Energy Outlook 2000 as of 4/4/2000 1. On table 20 "the fractional fuel efficiency change for 4-Speed Automatic" should be .045 instead of .030. On table 20 "the fractional fuel efficiency change for 5-Speed Automatic" should be .065 instead of .045. (Change made on 3/6/2000) 2. Table 28 should be labeled: "Alternative-Fuel Vehicle Attribute Inputs for Compact Cars for Two Stage Logit Model". (Change made on 3/6/2000) 3. The capital costs in Table 29 should read 1998 dollars not 1988 dollars. (Change made on 3/6/2000) 4. Table 37 changed the label "Year Available" to "First Year Completed." Changed the second sentence of Footnote 1 to read "these estimates are costs of new projects

239

EIA - Assumptions to the Annual Energy Outlook 2009 - Petroleum Market  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumptions to the Annual Energy Outlook 2009 Petroleum Market Module Figure 9., Petroleum Administration for Defense Districts. Need help, contact the National Energy Information Center at 202-586-8800. Table 11.1. Petroleum Product Categories. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version Table 11.2. Year Round Gasoline Specifications by Petroleum Administration for Defense Districts. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version Table 11.3. Gasolline Sulfur Content Assumptions, by Region and Gasoline Type, Parts per Million (PPM). Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version

240

Public Key Cryptography and Key Management  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

The use and management of certificate-based public key cryptography for the Department of Energy (DOE) requires the establishment of a public key infrastructure (PKI). This chapter defines the policy related to roles, requirements, and responsibilities for establishing and maintaining a DOE PKI and the documentation necessary to ensure that all certificates are managed in a manner that maintains the overall trust required to support a viable PKI. Canceled by DOE N 251.112.

2000-02-15T23:59:59.000Z

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


241

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2006 The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2006, DOE/EIA- M068(2006). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

242

EIA - Assumptions to the Annual Energy Outlook 2008 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2008 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2008, DOE/EIA-M068(2008). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

243

Assumptions to the Annual Energy Outlook - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumption to the Annual Energy Outlook Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2004, DOE/EIA- M068(2004). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

244

Developing a decision model to describe levels of self-directedness based upon the key assumptions of andragogy  

E-Print Network [OSTI]

-directed learning readiness level of students enrolled in the course. A report will be generated to show matches and mismatches between the instructor??s teaching style and the self-directed learning readiness level of the students. A decision model...

Richards, Lance Jonathan

2005-11-01T23:59:59.000Z

245

Assumptions to the Annual Energy Outlook - Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumption to the Annual Energy Outlook Petroleum Market Module Figure 8. Petroleum Administration for Defense Districts. Having problems, call our National Energy Information Center at 202-586-8800 for help. The NEMS Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohols, ethers, and bioesters natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. The PMM contains a linear programming representation of U.S. refining

246

Assumptions to the Annual Energy Outlook - Household Expenditures Module  

Gasoline and Diesel Fuel Update (EIA)

Household Expenditures Module Household Expenditures Module Assumption to the Annual Energy Outlook Household Expenditures Module Figure 5. United States Census Divisions. Having problems, call our National Energy Information Center at 202-586-8800 for help. The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and demographic characteristics, and consumption and expenditures for fuels for various end-uses. These data are combined with NEMS forecasts of household disposable income, fuel consumption, and fuel expenditures by end-use and household type. The HEM disaggregation algorithm uses these combined results to forecast household fuel consumption and expenditures by income quintile and Census Division (see

247

Diversion assumptions for high-powered research reactors  

SciTech Connect (OSTI)

This study deals with diversion assumptions for high-powered research reactors -- specifically, MTR fuel; pool- or tank-type research reactors with light-water moderator; and water, beryllium, or graphite reflectors, and which have a power level of 25 MW(t) or more. The objective is to provide assistance to the IAEA in documentation of criteria and inspection observables related to undeclared plutonium production in the reactors described above, including: criteria for undeclared plutonium production, necessary design information for implementation of these criteria, verification guidelines including neutron physics and heat transfer, and safeguards measures to facilitate the detection of undeclared plutonium production at large research reactors.

Binford, F.T.

1984-01-01T23:59:59.000Z

248

Assumptions to the Annual Energy Outlook 2000 - Electricity Market Demand  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module (EMM) represents the planning, operations, and pricing of electricity in the United States. It is composed of four primary submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. In addition, nonutility generation and supply and electricity transmission and trade are represented in the planning and dispatching submodules. Electricity Market Module (EMM) represents the planning, operations, and pricing of electricity in the United States. It is composed of four primary submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. In addition, nonutility generation and supply and electricity transmission and trade are represented in the planning and dispatching submodules. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. The major assumptions are summarized below.

249

Assumptions to the Annual Energy Outlook 1999 - Natural Gas Transmission  

Gasoline and Diesel Fuel Update (EIA)

The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by obtaining market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution network that links them. In addition, natural gas flow patterns are a function of the pattern in the previous year, coupled with the relative prices of gas supply options as translated to the represented market “hubs.” The major assumptions used within the NGTDM are grouped into five general categories. They relate to (1) the classification of demand into core and noncore transportation service classes, (2) the pricing of transmission and distribution services, (3) pipeline and storage capacity expansion and utilization, (4) the implementation of recent regulatory reform, and (5) the implementation of provisions of the Climate Change Action Plan (CCAP). A complete listing of NGTDM assumptions and in-depth methodology descriptions are presented in Model Documentation Report: Natural Gas Transmission and Distribution Model of the National Energy Modeling System, DOE/EIA-MO62/1, January 1999.

250

Assumptions to the Annual Energy Outlook 2000 - Natural Gas Transmission  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution network that links them. In addition, natural gas flow patterns are a function of the pattern in the previous year, coupled with the relative prices of gas supply options as translated to the represented market “hubs.” The major assumptions used within the NGTDM are grouped into five general categories. They relate to (1) the classification of demand into core and noncore transportation service classes, (2) the pricing of transmission and distribution services, (3) pipeline and storage capacity expansion and utilization, (4) the implementation of recent regulatory reform, and (5) the implementation of provisions of the Climate Change Action Plan (CCAP). A complete listing of NGTDM assumptions and in-depth methodology descriptions are presented in Model Documentation: Natural Gas Transmission and Distribution Model of the National Energy Modeling System, Model Documentation 2000, DOE/EIA-M062(2000), January 2000.

251

The contour method cutting assumption: error minimization and correction  

SciTech Connect (OSTI)

The recently developed contour method can measure 2-D, cross-sectional residual-stress map. A part is cut in two using a precise and low-stress cutting technique such as electric discharge machining. The contours of the new surfaces created by the cut, which will not be flat if residual stresses are relaxed by the cutting, are then measured and used to calculate the original residual stresses. The precise nature of the assumption about the cut is presented theoretically and is evaluated experimentally. Simply assuming a flat cut is overly restrictive and misleading. The critical assumption is that the width of the cut, when measured in the original, undeformed configuration of the body is constant. Stresses at the cut tip during cutting cause the material to deform, which causes errors. The effect of such cutting errors on the measured stresses is presented. The important parameters are quantified. Experimental procedures for minimizing these errors are presented. An iterative finite element procedure to correct for the errors is also presented. The correction procedure is demonstrated on experimental data from a steel beam that was plastically bent to put in a known profile of residual stresses.

Prime, Michael B [Los Alamos National Laboratory; Kastengren, Alan L [ANL

2010-01-01T23:59:59.000Z

252

EIA-Assumptions to the Annual Energy Outlook - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module Assumptions to the Annual Energy Outlook 2007 Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2007, DOE/EIA-M060(2007) (Washington, DC, 2007). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Forty separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations of thermal grade and sulfur content), and two mine types (underground and surface). Supply curves are constructed using an econometric formulation that relates the minemouth prices of coal for the supply regions and coal types to a set of independent variables. The independent variables include: capacity utilization of mines, mining capacity, labor productivity, the user cost of capital of mining equipment, and the cost of factor inputs (labor and fuel).

253

EIA - Assumptions to the Annual Energy Outlook 2010 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module Assumptions to the Annual Energy Outlook 2010 Coal Market Module The NEMS Coal Market Module (CMM) provides projections of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2010, DOE/EIA-M060(2010) (Washington, DC, 2010). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the projection. Forty separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations of thermal grade and sulfur content), and two mine types (underground and surface). Supply curves are constructed using an econometric formulation that relates the minemouth prices of coal for the supply regions and coal types to a set of independent variables. The independent variables include: capacity utilization of mines, mining capacity, labor productivity, the user cost of capital of mining equipment, the cost of factor inputs (labor and fuel), and other mine supply costs.

254

EIA - Assumptions to the Annual Energy Outlook 2008 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module Assumptions to the Annual Energy Outlook 2008 Coal Market Module The NEMS Coal Market Module (CMM) provides projections of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2008, DOE/EIA-M060(2008) (Washington, DC, 2008). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the projection. Forty separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations of thermal grade and sulfur content), and two mine types (underground and surface). Supply curves are constructed using an econometric formulation that relates the minemouth prices of coal for the supply regions and coal types to a set of independent variables. The independent variables include: capacity utilization of mines, mining capacity, labor productivity, the user cost of capital of mining equipment, and the cost of factor inputs (labor and fuel).

255

Assumptions to the Annual Energy Outlook 1999 - Table 1  

Gasoline and Diesel Fuel Update (EIA)

Summary of AEO99 Cases Summary of AEO99 Cases Case Name Description Integration mode Reference Baseline economic growth, world oil price, and technology assumptions Fully Integrated Low Economic Growth Gross Domestic product grows at an average annual rate of 1.5 percent, compared to the reference case growth of 2.1 percent. Fully Integrated High Economic Growth Gross domestic product grows at an average annual rate of 2.6 percent, compared to the reference case growth of 2.1 percent. Fully Integrated Low World Oil Price World oil prices are $14.57 per barrel in 2020, compared to $22.73 per barrel in the reference case. Partially Integrated High World Oil Price World oil prices are $29.35 per barrel in 2020, compared to $22.73 per barrel in the reference case. Partially Integrated Residential: 1999 Technology

256

EIA - Assumptions to the Annual Energy Outlook 2009 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2009 Electricity Market Module figure 6. Electricity Market Model Supply Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2009, DOE/EIA-M068(2009). Based on fuel prices and electricity demands provided by the other modules

257

EIA - Assumptions to the Annual Energy Outlook 2008 - Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumptions to the Annual Energy Outlook 2008 Natural Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and Distribution Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution

258

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2006 The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 12 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS27 data.

259

EIA - Assumptions to the Annual Energy Outlook 2008 - Petroleum Market  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumptions to the Annual Energy Outlook 2008 Petroleum Market Module Figure 9. Petroleum Administration for Defense Districts. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Petroleum Market Module (PMM) projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, unfinished oil imports, other refinery inputs (including alcohols, ethers, bioesters, corn, biomass, and coal), natural gas plant liquids production, and refinery processing gain. In addition, the PMM projects capacity expansion and fuel consumption at domestic refineries. The PMM contains a linear programming (LP) representation of U.S. refining

260

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2006 The International Energy Module determines changes in the world oil price and the supply prices of crude oils and petroleum products for import to the United States in response to changes in U.S. import requirements. A market clearing method is used to determine the price at which worldwide demand for oil is equal to the worldwide supply. The module determines new values for oil production and demand for regions outside the United States, along with a new world oil price that balances supply and demand in the international oil market. A detailed description of the International Energy Module is provided in the EIA publication, Model Documentation Report: The International Energy Module of the National Energy Modeling System, DOE/EIA-M071(06), (Washington, DC, February 2006).

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


261

EIA - Assumptions to the Annual Energy Outlook 2010 - International Energy  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2010 International Energy Module Figure 2. World Oil Prices in Three Cases, 1995-2035 Figure 2. World Oil Prices in three Cases, 1995-2035 (2008 dollars per barrel). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 3. OPEC Total Liquids Production in the Reference Case, 1980-2035 Figure 3. OPEC Total Liquids Production in the Reference Case, 1995-2030 (million barrels per day). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 4. Non-OPEC Total Liquids Production in the Reference Case, 1980-2035 Figure 4. Non-OPEC Total Liquids Production in the Reference Case, 1995-2030 (million barrels per day). Need help, contact the National Energy Information Center at 202-586-8800.

262

EIA - Assumptions to the Annual Energy Outlook 2009 - Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumptions to the Annual Energy Outlook 2009 Natural Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and distribution Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution

263

EIA - Assumptions to the Annual Energy Outlook 2009 - International Energy  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2009 International Energy Module Figure 2. World Oil Prices in three Cases, 1995-2030 (2006 dollars per barrel). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 3. OPEC Total Liquids Production in the Reference Case, 1995-2030 (million barrels per day). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 4. Non-OPEC Total Liquids Production in the Reference Case, 1995-2030 (million barrels per day). Need help, contact the National Energy Information Center at 202-586-8800. figure data The International Energy Module (IEM) performs two tasks in all NEMS runs. First, the module reads exogenously global and U.S.A. petroleum liquids

264

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2006 The NEMS Commercial Sector Demand Module generates forecasts of commercial sector energy demand through 2030. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.14

265

EIA - Assumptions to the Annual Energy Outlook 2008 - Industrial Demand  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2008 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 21 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module projects energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region projection using the SEDS1 data.

266

Assumptions to the Annual Energy Outlook - International Energy Module  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumption to the Annual Energy Outlook International Energy Module Figure 2. World Oil Prices in three Cases, 1970-2025. Having problems, call our National Energy Information Center at 202-586-8800 for help. Figure Data Figure 3. OPEC Oil Production in the Reference Case, 1970-2025. Having problems, call our National Energy Information Center at 202-586-8800 for help. Figure Data Figure 4. Non-OPEC Production in the Reference Case, 1970-2025. Having problems, call our National Energy Information Center at 202-586-8800 for help. Figure Data Table 4. Worldwide Oil Reserves as of January 1, 2002 (Billion Barrels) Printer Friendly Version Region Proved Oil Reserves Western Hemisphere 313.6 Western‘Europe 18.1 Asia-Pacific 38.7

267

EIA - Assumptions to the Annual Energy Outlook 2010 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2010 Residential Demand Module Figure 5. United States Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" by appliance (or UEC-in million Btu per household per year). The projection process adds new housing units to the stock,

268

Assumptions to the Annual Energy Outlook - Natural Gas Transmission and  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumption to the Annual Energy Outlook Natural Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and Distribution Model Regions. Having problems, call our National Energy Information Center at 202-586-8800 for help. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution

269

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2006 Figure 5. United States Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment

270

EIA - Assumptions to the Annual Energy Outlook 2008 - Commercial Demand  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2008 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2030. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.1

271

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module Assumptions to the Annual Energy Outlook 2006 Figure 7. Oil and Gas Supply Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas supply on a regional basis (Figure 7). A detailed description of the OGSM is provided in the EIA publication, Model Documentation Report: The Oil and Gas Supply Module (OGSM), DOE/EIA-M063(2006), (Washington, DC, 2006). The OGSM provides crude oil and natural gas short-term supply parameters to both the Natural Gas Transmission and Distribution Module and the Petroleum Market Module. The OGSM simulates the activity of numerous firms that produce oil and natural

272

Assumptions to the Annual Energy Outlook - Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumption to the Annual Energy Outlook Industrial Demand Module Table 17. Industry Categories Printer Friendly Version Energy-Intensive Manufacturing Nonenergy-Intensive Manufacturing Nonmanufacturing Industries Food and Kindred Products (NAICS 311) Metals-Based Durables (NAICS 332-336) Agricultural Production -Crops (NAICS 111) Paper and Allied Products (NAICS 322) Balance of Manufacturing (all remaining manufacturing NAICS) Other Agriculture Including Livestock (NAICS112- 115) Bulk Chemicals (NAICS 32B) Coal Mining (NAICS 2121) Glass and Glass Products (NAICS 3272) Oil and Gas Extraction (NAICS 211) Hydraulic Cement (NAICS 32731) Metal and Other Nonmetallic Mining (NAICS 2122- 2123) Blast Furnaces and Basic Steel (NAICS 331111) Construction (NAICS233-235)

273

EIA - Assumptions to the Annual Energy Outlook 2009 - Commercial Demand  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2009 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2030. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.1

274

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

clothes drying, ceiling fans, coffee makers, spas, home security clothes drying, ceiling fans, coffee makers, spas, home security systems, microwave ovens, set-top boxes, home audio equipment, rechargeable electronics, and VCR/DVDs. In addition to the major equipment-driven end-uses, the average energy consumption per household is projected for other electric and nonelectric appliances. The module's output includes number Energy Information Administration/Assumptions to the Annual Energy Outlook 2007 19 Pacific East South Central South Atlantic Middle Atlantic New England West South Central West North Central East North Central Mountain AK WA MT WY ID NV UT CO AZ NM TX OK IA KS MO IL IN KY TN MS AL FL GA SC NC WV PA NJ MD DE NY CT VT ME RI MA NH VA WI MI OH NE SD MN ND AR LA OR CA HI Middle Atlantic New England East North Central West North Central Pacific West South Central East South Central

275

EIA - Assumptions to the Annual Energy Outlook 2009 - Renewable Fuels  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module Assumptions to the Annual Energy Outlook 2009 Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for projections of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has seven submodules representing various renewable energy sources, biomass, geothermal, conventional hydroelectricity, landfill gas, solar thermal, solar photovoltaics, and wind1. Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as water, wind, and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was one of the first electric generation technologies, to newer power systems using biomass, geothermal, LFG, solar, and wind energy.

276

EIA - Assumptions to the Annual Energy Outlook 2010 - Commercial Demand  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2009 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2035. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services [1].

277

Assumptions to the Annual Energy Outlook 1999 - Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

petroleum.gif (4999 bytes) petroleum.gif (4999 bytes) The NEMS Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohol and ethers, natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. The PMM contains a linear programming representation of refining activities in three U.S. regions. This representation provides the marginal costs of production for a number of traditional and new petroleum products. The linear programming results are used to determine end-use product prices for each Census Division using the assumptions and methods described below. 75

278

EIA - Assumptions to the Annual Energy Outlook 2010 - Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumptions to the Annual Energy Outlook 2010 Natural Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and distribution Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and

279

EIA - Assumptions to the Annual Energy Outlook 2010 - Petroleum Market  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumptions to the Annual Energy Outlook 2010 Petroleum Market Module The NEMS Petroleum Market Module (PMM) projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, unfinished oil imports, other refinery inputs (including alcohols, ethers, bioesters, corn, biomass, and coal), natural gas plant liquids production, and refinery processing gain. In addition, the PMM projects capacity expansion and fuel consumption at domestic refineries. Figure 9. Petroleum Administration for Defense Districts. The PMM contains a linear programming (LP) representation of U.S. refining activities in the five Petroleum Area Defense Districts (PADDs) (Figure 9),

280

EIA - Assumptions to the Annual Energy Outlook 2009 - Industrial Demand  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2009 Industrial Demand Module Table 6.1. Industry Categories. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version Table 6.2.Retirement Rates. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process flow or end use accounting

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


281

Assumptions to the Annual Energy Outlook - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumption to the Annual Energy Outlook Residential Demand Module The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions (see Figure 5). The Residential Demand Module also requires projections of available equipment and their installed costs over the forecast horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the forecast horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

282

EIA - Assumptions to the Annual Energy Outlook 2009 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2009 Residential Demand Module The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions (see Figure 5). The Residential Demand Module also requires projections of available equipment and their installed costs over the projection horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the projection horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

283

EIA - Assumptions to the Annual Energy Outlook 2008 - International Energy  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2008 International Energy Module The International Energy Module (IEM) performs two tasks in all NEMS runs. First, the module reads exogenously global and U.S.A. petroleum liquids supply and demand curves (1 curve per year; 2008-2030; approximated, isoelastic fit to previous NEMS results). These quantities are not modeled directly in NEMS. Previous versions of the IEM adjusted these quantities after reading in initial values. In an attempt to more closely integrate the AEO2008 with IEO2007 and the STEO some functionality was removed from IEM while a new algorithm was implemented. Based on the difference between U.S. total petroleum liquids production (consumption) and the expected U.S. total liquids production (consumption) at the current WTI price, curves for global petroleum liquids consumption (production) were adjusted for each year. According to previous operations, a new WTI price path was generated. An exogenous oil supply module, Generate World Oil Balances (GWOB), was also used in IEM to provide annual regional (country) level production detail for conventional and unconventional liquids.

284

Assumptions to the Annual Energy Outlook 2000 - Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohol and ethers, natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohol and ethers, natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. The PMM contains a linear programming representation of refining activities in three U.S. regions. This representation provides the marginal costs of production for a number of traditional and new petroleum products. The linear programming results are used to determine end-use product prices for each Census Division using the assumptions and methods described below.100

285

Assumptions to the Annual Energy Outlook - Renewable Fuels Module  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module Assumption to the Annual Energy Outlook Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for forecasts of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has five submodules representing various renewable energy sources, biomass, geothermal, landfill gas, solar, and wind; a sixth renewable, conventional hydroelectric power, is represented in the Electricity Market Module (EMM).109 Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as wind and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was an original source of electricity generation, to newer power systems using biomass, geothermal, LFG, solar, and wind energy. In some cases, they require technological innovation to become cost effective or have inherent characteristics, such as intermittency, which make their penetration into the electricity grid dependent upon new methods for integration within utility system plans or upon low-cost energy storage.

286

EIA - Assumptions to the Annual Energy Outlook 2008 - Renewable Fuels  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module Assumptions to the Annual Energy Outlook 2008 Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for projections of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has seven submodules representing various renewable energy sources, biomass, geothermal, conventional hydroelectricity, landfill gas, solar thermal, solar photovoltaics, and wind1. Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as water, wind, and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was one of the first electric generation technologies, to newer power systems using biomass, geothermal, LFG, solar, and wind energy. In some cases, they require technological innovation to become cost effective or have inherent characteristics, such as intermittency, which make their penetration into the electricity grid dependent upon new methods for integration within utility system plans or upon the availability of low-cost energy storage systems.

287

Comparison of risk-dominant scenario assumptions for several TRU waste facilities in the DOE complex  

SciTech Connect (OSTI)

In order to gain a risk management perspective, the DOE Rocky Flats Field Office (RFFO) initiated a survey of other DOE sites regarding risks from potential accidents associated with transuranic (TRU) storage and/or processing facilities. Recently-approved authorization basis documents at the Rocky Flats Environmental Technology Site (RFETS) have been based on the DOE Standard 3011 risk assessment methodology with three qualitative estimates of frequency of occurrence and quantitative estimates of radiological consequences to the collocated worker and the public binned into three severity levels. Risk Class 1 and 2 events after application of controls to prevent or mitigate the accident are designated as risk-dominant scenarios. Accident Evaluation Guidelines for selection of Technical Safety Requirements (TSRs) are based on the frequency and consequence bin assignments to identify controls that can be credited to reduce risk to Risk Class 3 or 4, or that are credited for Risk Class 1 and 2 scenarios that cannot be further reduced. This methodology resulted in several risk-dominant scenarios for either the collocated worker or the public that warranted consideration on whether additional controls should be implemented. RFFO requested the survey because of these high estimates of risks that are primarily due to design characteristics of RFETS TRU waste facilities (i.e., Butler-type buildings without a ventilation and filtration system, and a relatively short distance to the Site boundary). Accident analysis methodologies and key assumptions are being compared for the DOE sites responding to the survey. This includes type of accidents that are risk dominant (e.g., drum explosion, material handling breach, fires, natural phenomena, external events, etc.), source term evaluation (e.g., radionuclide material-at-risk, chemical and physical form, damage ratio, airborne release fraction, respirable fraction, leakpath factors), dispersion analysis (e.g., meteorological assumptions, distance to receptors, plume meander, deposition, and other factors affecting the calculated {chi}/Q), dose assessments (specific activities, inhalation dose conversion factors, breathing rates), designated frequency of occurrence, and risk assignment per the DOE Standard 3011 methodology. Information from the sites is being recorded on a spreadsheet to facilitate comparisons. The first response from Westinghouse Safety Management Solutions for the Savannah River Site (SRS) also provided a detailed analysis of the major differences in methods and assumptions between RFETS and SRS, which forms much of the basis for this paper. Other sites responding to the survey include the Idaho National Engineering and Environmental Laboratory (INEEL), Hanford, and the Los Alamos National Laboratory (LANL).

Foppe, T.L. [Foppe and Associates, Inc., Golden, CO (United States); Marx, D.R. [Westinghouse Safety Management Solutions, Inc., Aiken, SC (United States)

1999-06-01T23:59:59.000Z

288

Assumptions to the Annual Energy Outlook 2001 - Macroeconomic Activity  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module

289

Assumptions to the Annual Energy Outlook 1999 - Macroeconomic Activity  

Gasoline and Diesel Fuel Update (EIA)

macroeconomic.gif (5367 bytes) macroeconomic.gif (5367 bytes) The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065, (Washington, DC, February 1994).

290

Assumptions to the Annual Energy Outlook 2002 - Macroeconomic Activity  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module

291

Assumptions to the Annual Energy Outlook 2000 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065, (Washington, DC, February 1994), plus Macroeconomic Activity Module (MAM): Kernel Regression Documentation of the National Energy Modeling System 1999, DOE/EIA-M065(99), Washington, DC, 1999).

292

ARM - Key Science Questions  

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

govScienceKey Science Questions govScienceKey Science Questions Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) ARM Science Team Meetings User Meetings Annual Meetings of the Atmospheric System Research (ASR) Science Team and Fall Working Groups Accomplishments Read about the 20 years of accomplishments (PDF, 696KB) from the ARM Program and user facility. Performance Metrics ASR Metrics 2009 2008 2007 2006 Key Science Questions The role of clouds and water vapor in climate change is not well understood; yet water vapor is the largest greenhouse gas and directly affects cloud cover and the propagation of radiant energy. In fact, there may be positive feedback between water vapor and other greenhouse gases. Carbon dioxide and other gases from human activities slightly warm the

293

On the self-similarity assumption in dynamic models for large eddy simulations  

E-Print Network [OSTI]

that the present formulation of the DP is usually incompatible with its under- lying self-similarity assumption SSAOn the self-similarity assumption in dynamic models for large eddy simulations Daniele Carati eddy simulations and their underlying self-similarity assumption is discussed. The interpretation

Van Den Eijnden, Eric

294

Cryptographic Key Management System  

SciTech Connect (OSTI)

This report summarizes the outcome of U.S. Department of Energy (DOE) contract DE-OE0000543, requesting the design of a Cryptographic Key Management System (CKMS) for the secure management of cryptographic keys for the energy sector infrastructure. Prime contractor Sypris Electronics, in collaboration with Oak Ridge National Laboratories (ORNL), Electric Power Research Institute (EPRI), Valicore Technologies, and Purdue University's Center for Education and Research in Information Assurance and Security (CERIAS) and Smart Meter Integration Laboratory (SMIL), has designed, developed and evaluated the CKMS solution. We provide an overview of the project in Section 3, review the core contributions of all contractors in Section 4, and discuss bene#12;ts to the DOE in Section 5. In Section 6 we describe the technical construction of the CKMS solution, and review its key contributions in Section 6.9. Section 7 describes the evaluation and demonstration of the CKMS solution in different environments. We summarize the key project objectives in Section 8, list publications resulting from the project in Section 9, and conclude with a discussion on commercialization in Section 10 and future work in Section 11.

No, author

2014-02-21T23:59:59.000Z

295

AP Key Accomplishments  

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

Recent Key Accomplishments Recent Key Accomplishments Reduction of Carbon Dioxide Mechanistic insight into CO2 hydrogenation Rapid Transfer of Hydride Ion from a Ruthenium Complex to C1 Species in Water Reversible Hydrogen Storage using CO2 and a Proton-Switchable Iridium Catalyst in Aqueous Media Nickel(II) Macrocycles: Highly Efficient Electrocatalysts for the Selective Reduction of CO2 to CO Calculation of Thermodynamic Hydricities and the Design of Hydride Donors for CO2 Reduction Mechanisms for CO Production from CO2 Using Re(bpy)(CO)3X Catalysts Hydrogen Production Biomass-derived electrocatalytic composites for hydrogen evolution Hydrogen-Evolution Catalysts Based on NiMo Nitride Nanosheets Water Oxidation Enabling light-driven water oxidation via a low-energy RuIV=O intermediate

296

Key Activities | Department of Energy  

Energy Savers [EERE]

in several key areas to advance the development and commercialization of hydrogen and fuel cell technologies. Research, Development, and Demonstration Key areas of research,...

297

A DISTRIBUTED SHARED KEY GENERATION PROCEDURE USING FRACTIONAL KEYS  

E-Print Network [OSTI]

A DISTRIBUTED SHARED KEY GENERATION PROCEDURE USING FRACTIONAL KEYS R. Poovendran, M. S. Corson, J}@isr.umd.edu ABSTRACT W e present a new class of distributed key generation and recovery algorithms suitable for group) with a Group Con- troller (GC) which can generate and distribute the keys. However, in these approaches

Baras, John S.

298

Key recycling in authentication  

E-Print Network [OSTI]

In their seminal work on authentication, Wegman and Carter propose that to authenticate multiple messages, it is sufficient to reuse the same hash function as long as each tag is encrypted with a one-time pad. They argue that because the one-time pad is perfectly hiding, the hash function used remains completely unknown to the adversary. Since their proof is not composable, we revisit it using a composable security framework. It turns out that the above argument is insufficient: if the adversary learns whether a corrupted message was accepted or rejected, information about the hash function is leaked, and after a bounded finite amount of rounds it is completely known. We show however that this leak is very small: Wegman and Carter's protocol is still $\\epsilon$-secure, if $\\epsilon$-almost strongly universal$_2$ hash functions are used. This implies that the secret key corresponding to the choice of hash function can be reused in the next round of authentication without any additional error than this $\\epsilon$. We also show that if the players have a mild form of synchronization, namely that the receiver knows when a message should be received, the key can be recycled for any arbitrary task, not only new rounds of authentication.

Christopher Portmann

2012-02-06T23:59:59.000Z

299

OIKOS 101: 499504, 2003 Do seedlings in gaps interact? A field test of assumptions in ESS  

E-Print Network [OSTI]

OIKOS 101: 499­504, 2003 Do seedlings in gaps interact? A field test of assumptions in ESS seed seedlings in gaps interact? A field test of assumptions in ESS seed size models. ­ Oikos 101: 499­504. ESS for the occupancy of `safe sites' or vegetation gaps. If mortality rates are high and/or frequency-independent, ESS

Silvertown, Jonathan

300

Granular Matter 4(3) (2002) How good is the equipartition assumption for the transport  

E-Print Network [OSTI]

Granular Matter 4(3) (2002) How good is the equipartition assumption for the transport properties of a granular mixture? Meheboob Alam (1) , Stefan Luding (1;2) ? Abstract Kinetic-theory, with the assumption of equipar- tition of granular energy, suggests that the pressure and viscosity of a granular mixture vary

Luding, Stefan

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


301

Impact of assumption of log-normal distribution on monthly rainfall estimation from TMI  

E-Print Network [OSTI]

The log-normal assumption for the distribution of the rain rates used for the estimation of monthly rain totals proposed in Wilheit et al 1991 was examined. Since the log-normal assumption was originally used for the SSM/I, it is now necessary to re...

Lee, Dong Heon

2012-06-07T23:59:59.000Z

302

Moldy Assumptions  

E-Print Network [OSTI]

sustainability movements. 2 Despite these noble intentions, using human responsibility as a base for architecture

Heully, Gustave Paul

2012-01-01T23:59:59.000Z

303

CBE UFAD cost analysis tool: Life cycle cost model, issues and assumptions  

E-Print Network [OSTI]

Building Maintenance and Repair Cost Reference. WhitestoneJ. Wallis and H. Lin. 2008. CBE UFAD Cost Analysis Tool:UFAD First Cost Model, Issues and Assumptions. Center for

Webster, Tom; Benedek, Corinne; Bauman, Fred

2008-01-01T23:59:59.000Z

304

Microwave Properties of Ice-Phase Hydrometeors for Radar and Radiometers: Sensitivity to Model Assumptions  

Science Journals Connector (OSTI)

A simplified framework is presented for assessing the qualitative sensitivities of computed microwave properties, satellite brightness temperatures, and radar reflectivities to assumptions concerning the physical properties of ice-phase ...

Benjamin T. Johnson; Grant W. Petty; Gail Skofronick-Jackson

2012-12-01T23:59:59.000Z

305

Behavioral Assumptions Underlying California Residential Sector Energy Efficiency Programs (2009 CIEE Report)  

Broader source: Energy.gov [DOE]

This paper examines the behavioral assumptions that underlie Californias residential sector energy efficiency programs and recommends improvements that will help to advance the states ambitious greenhouse gas reduction goals.

306

Length measurement of a moving rod by a single observer without assumptions concerning its magnitude  

E-Print Network [OSTI]

We extend the results presented by Weinstein concerning the measurement of the length of a moving rod by a single observer, without making assumptions concerning the distance between the moving rod and the observer who measures its length.

Bernhard Rothenstein; Ioan Damian

2005-07-03T23:59:59.000Z

307

Assumptions about the U.S., the EU, NATO, and their Impact on the Transatlantic Agenda  

Science Journals Connector (OSTI)

I propose in this paper to discuss, from an American perspective, the assumptions and assertions that influence the way that I look at foreign policy events at the end of this decade. I will conclude with a fe...

Stanley Sloan

2000-01-01T23:59:59.000Z

308

Annual Energy Outlook 2001-Appendix G: Major Assumptions for the Forecasts  

Gasoline and Diesel Fuel Update (EIA)

Forecasts Forecasts Summary of the AEO2001 Cases/ Scenarios - Appendix Table G1 bullet1.gif (843 bytes) Model Results (Formats - PDF, ZIP) - Appendix Tables - Reference Case - 1998 to 2020 bullet1.gif (843 bytes) Download Report - Entire AEO2001 (PDF) - AEO2001 by Chapters (PDF) bullet1.gif (843 bytes) Acronyms bullet1.gif (843 bytes) Contacts Related Links bullet1.gif (843 bytes) Assumptions to the AEO2001 bullet1.gif (843 bytes) Supplemental Data to the AEO2001 (Only available on the Web) - Regional and more detailed AEO 2001 Reference Case Results - 1998, 2000 to 2020 bullet1.gif (843 bytes) NEMS Conference bullet1.gif (843 bytes) Forecast Homepage bullet1.gif (843 bytes) EIA Homepage Appendix G Major Assumptions for the Forecasts Component Modules Major Assumptions for the Annual Energy Outlook 2001

309

Sensitivity of Rooftop PV Projections in the SunShot Vision Study to Market Assumptions  

SciTech Connect (OSTI)

The SunShot Vision Study explored the potential growth of solar markets if solar prices decreased by about 75% from 2010 to 2020. The SolarDS model was used to simulate rooftop PV demand for this study, based on several PV market assumptions--future electricity rates, customer access to financing, and others--in addition to the SunShot PV price projections. This paper finds that modeled PV demand is highly sensitive to several non-price market assumptions, particularly PV financing parameters.

Drury, E.; Denholm, P.; Margolis, R.

2013-01-01T23:59:59.000Z

310

Key Activities | Department of Energy  

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

Key Activities Key Activities Key Activities The Water Power Program conducts work in four key areas at the forefront of water power research. The Program is structured to help the United States meet its growing energy demands sustainably and cost-effectively by developing innovative renewable water power technologies, breaking down market barriers to deployment, building the infrastructure to test new technologies, and assessing water power resources for integration into our nation's grid. Research and Development Introduce and advance new marine and hydrokinetic technologies to provide sustainable and cost-effective renewable energy from the nation's waves, tides, currents, and ocean thermal gradients. Research and develop innovative hydropower technologies to sustainably tap our country's diverse water resources including rivers,

311

Campus Recreation at Sonoma State University RELEASE OF LIABILITY -PROMISE NOT TO SUE ASSUMPTION OF  

E-Print Network [OSTI]

Campus Recreation at Sonoma State University RELEASE OF LIABILITY - PROMISE NOT TO SUE ASSUMPTION OF RISK - AGREEMENT TO PAY CLAIMS PERMISSION TO USE VISUAL LIKENESS Activities: a) USE OF SSU RECREATION RECREATION PROGRAMS. Effective Locations and Time Periods: a) RECREATION CENTER: DURING HOURS OF OPERATION

Ravikumar, B.

312

Cognitive Assessment Models with Few Assumptions, and Connections with Nonparametric IRT  

E-Print Network [OSTI]

Cognitive Assessment Models with Few Assumptions, and Connections with Nonparametric IRT Brian of the monotonicity conditions discussed in Section 4. #12;Abstract In recent years, as cognitive theories of learning" on student achievement relative to theory-driven lists of examinee skills, beliefs and other cognitive

Junker, Brian

313

Draft -F. Nicoud 1 About the zero Mach number assumption in  

E-Print Network [OSTI]

Draft - F. Nicoud 1 About the zero Mach number assumption in the calculation of thermoacoustic as the the flame forcing ('Rayleigh') term. Besides, the net effect of the non zero Mach number terms the frequency of oscillation and growth rate are modified when the Mach number is not zero. It is demonstrated

Nicoud, Franck

314

Models of transcription factor binding: Sensitivity of activation functions to model assumptions  

E-Print Network [OSTI]

on statistical physics, a Markov-chain model and a computational simulation. Comparison of these models suggests for cooperativity. The simulation model suggests that direct interactions between TFs are unlikely to be the main in this contribution, the assumption of the cell being a well stirred reactor makes a qualitative difference

Kent, University of

315

Effects of Ethanol and Volatility Parameters on Exhaust Emissions of Light-Duty Vehicles  

E-Print Network [OSTI]

26-28, 2005 THE EFFECTS OF ETHANOL AND VOLATILITY PARAMETERSare changed to include ethanol. While past studies of theincluding many with ethanol, there are some contradictory

Durbin, T; Miller, J W; Huai, T; Cocker III, D R; Younglove, Y

2005-01-01T23:59:59.000Z

316

Drive cycle analysis of butanol/diesel blends in a light-duty vehicle.  

SciTech Connect (OSTI)

The potential exists to displace a portion of the petroleum diesel demand with butanol and positively impact engine-out particulate matter. As a preliminary investigation, 20% and 40% by volume blends of butanol with ultra low sulfur diesel fuel were operated in a 1999 Mercedes Benz C220 turbo diesel vehicle (Euro III compliant). Cold and hot start urban as well as highway drive cycle tests were performed for the two blends of butanol and compared to diesel fuel. In addition, 35 MPH and 55 MPH steady-state tests were conducted under varying road loads for the two fuel blends. Exhaust gas emissions, fuel consumption, and intake and exhaust temperatures were acquired for each test condition. Filter smoke numbers were also acquired during the steady-state tests.

Miers, S. A.; Carlson, R. W.; McConnell, S. S.; Ng, H. K.; Wallner, T.; LeFeber, J.; Energy Systems; Esper Images Video & Multimedia

2008-10-01T23:59:59.000Z

317

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

E-Print Network [OSTI]

Energys Argonne National Laboratory suggests that present corn-energy and GHG reduction can result from the introduction of grain-based corn

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

318

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

E-Print Network [OSTI]

Energys Argonne National Laboratory suggests that present corn-energy and GHG reduction can result from the introduction of grain-based corn

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

319

High Efficiency Clean Combustion in Multi-Cylinder Light-Duty...  

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

VTP goals of reducing petroleum energy use (engine system) including potential market penetration with efficient, cost-effective aftertreatments. * Program Objectives (MYPP...

320

Accelerating Light-Duty Diesel Sales in the U.S. Market  

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

Diesel Sales in the U.S. Market Klaus-Peter Schindler Volkswagen AG, Wolfsburg, Germany Content Situation in Europe Situation in U.S. Motivation for customers to...

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


321

E-Print Network 3.0 - acceptable light-duty diesel Sample Search...  

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

reactive nitrogen compounds from ... Source: Denver, University of - Fuel Efficiency Automobile Test Data Center Collection: Energy Storage, Conversion and Utilization 10 Shaping...

322

Hydrogen/Natural Gas Blends for Heavy and Light-Duty Applications  

E-Print Network [OSTI]

exhaust emissions that can be achieved relative to both diesel and natural gas alternatives. The design $ For applications that now use diesel engines $ Develop engine configurations that can replace existing diesel that minimizes the surface to volume ratio. However, care must be taken to avoid engine knock. This can require

323

Light-Duty Reactivity Controlled Compression Ignition Drive Cycle Fuel Economy and Emissions Estimates  

Broader source: Energy.gov [DOE]

Vehicle systems simulations using experimental data demonstrate improved modeled fuel economy of 15% for passenger vehicles solely from powertrain efficiency relative to a 2009 PFI gasoline baseline.

324

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

E-Print Network [OSTI]

components, charge reduction, or an alternative refrigerant,refrigerant system. However, more recent work suggests low-leak, reduced charge,

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

325

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

E-Print Network [OSTI]

components, charge reduction, or an alternative refrigerant,refrigerant system. However, more recent work suggests low-leak, reduced charge,

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

326

Ethanol or Bioelectricity? Life Cycle Assessment of Lignocellulosic Bioenergy Use in Light-Duty Vehicles  

Science Journals Connector (OSTI)

The remaining unfermented material, which includes lignin, is combusted to generate process heat and electricity. ... Delivered feedstock is combusted within a biomass boiler, generating steam to drive a steam turbine electrical generator, and flue gas to dry delivered feedstock. ... Fossil energy use in the bioenergy pathways is associated primarily with three aspects of the life cycle: (i) in the vehicle cycle (production/disposal) stage, coal and natural gas are used extensively. ...

Jason M. Luk; Mohammad Pourbafrani; Bradley A. Saville; Heather L. MacLean

2013-09-09T23:59:59.000Z

327

Opportunity Assessment Clean Diesels in the North American Light Duty Market  

Broader source: Energy.gov [DOE]

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

328

Accelerating Light-Duty Diesel Sales in the U.S. Market  

Broader source: Energy.gov [DOE]

Presentation given at DEER 2006, August 20-24, 2006, Detroit, Michigan. Sponsored by the U.S. DOE's EERE FreedomCar and Fuel Partnership and 21st Century Truck Programs.

329

High Efficiency Clean Combustion in Multi-Cylinder Light-Duty Engines  

Broader source: Energy.gov [DOE]

2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation

330

Advanced Combustion Concepts- Enabling Systems and Solutions (ACCESS) for High Efficiency Light Duty Vehicles  

Broader source: Energy.gov [DOE]

2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation

331

Light-Duty Diesel EngineTechnology to Meet Future Emissions and...  

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

Vehicles 0 10 20 30 40 50 60 2000 3000 4000 5000 6000 7000 8000 Gross Vehicle Weight (lb) Combined Cycle MPG (US) . Gasoline Diesel Diesel average +45% MPG benefit Vehicle range...

332

Addressing the Challenges of RCCI Operation on a Light-Duty Multi-Cylinder Engine  

Broader source: Energy.gov [DOE]

ORNL and UW collaboration in evaluating and developing RCCI operation in fully built multi-cylinder engine to address hardware, aftertreatment, and control challenges

333

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

Broader source: Energy.gov [DOE]

The path to 45 percent peak BTE in FY 2010 includes modern base engine plus enabling technologies demonstrated in FY 2008 plus the recovery of thermal energy from the exhaust and EGR systems

334

High Efficiency Clean Combustion in Multi-Cylinder Light-Duty...  

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

not contain any proprietary, confidential, or otherwise restricted information. 2013 DOE Hydrogen Program and Vehicle Technologies Annual Merit Review May 14, 2013 Gurpreet...

335

Post Mortem of 120k mi Light-Duty Urea SCR and DPF System  

Broader source: Energy.gov [DOE]

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

336

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

E-Print Network [OSTI]

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

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

337

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

E-Print Network [OSTI]

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

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

338

Efficiency analysis of varying EGR under PCI mode of combustion in a light duty diesel engine  

E-Print Network [OSTI]

(EGR) rates of 39%, 40%, 41% and 42%. The data is collected from the experimental apparatus located in General Motors Collaborative Research Laboratory at the University of Michigan. The heat release is calculated to obtain various in-cylinder energy...

Pillai, Rahul Radhakrishna

2008-10-10T23:59:59.000Z

339

High Efficiency Clean Combustion in Multi-Cylinder Light-Duty Engines  

Broader source: Energy.gov [DOE]

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

340

High Efficiency Clean Combustion in Multi-Cylinder Light-Duty Engines  

Broader source: Energy.gov [DOE]

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

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


341

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

Science Journals Connector (OSTI)

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

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

2005-05-12T23:59:59.000Z

342

Effect of Oxygenated Fuel on Combustion and Emissions in a Light-Duty Turbo Diesel Engine  

Science Journals Connector (OSTI)

The influence of fuel oxygen content on soot reduction in diesel engines is well-known. ... Fuel consumption was determined by weighing the fuel at the beginning and end of each test mode or each fuel blend through a Sartorius precision scale, with an accuracy of 2 g. ... studies on effects of oxygenated fuels in conjunction with single and split fuel injections were conducted at high and low loads on a Caterpillar SCOTE DI diesel engine. ...

Juhun Song; Kraipat Cheenkachorn; Jinguo Wang; Joseph Perez; Andr L. Boehman; Philip John Young; Francis J. Waller

2002-01-15T23:59:59.000Z

343

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

E-Print Network [OSTI]

Department of Energy. Argonne, Illinois. Schwarz, W. and J.of Energy. ANL/ ESD-38. January. Argonne, Illinois Watanabe,

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

344

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

E-Print Network [OSTI]

Department of Energy. Argonne, Illinois. Schwarz, W. and J.of Energy. ANL/ ESD-38. January. Argonne, Illinois Watanabe,

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

345

Addressing the Challenges of RCCI Operation on a Light-Duty...  

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

efficiencies with very low NOx and PM emissions. * HC and CO emissions similar level to modern gasoline engine but with added challenge of very low exhaust temperatures...

346

High-Efficiency Clean Combustion in Light-Duty Multi-Cylinder...  

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

* Cylinder-to-cylinder balancing important for high efficiency. * Swirl level has optimum level depending on gasoline-to-diesel ratio and has strong impact on BTE. * Pressure rise...

347

Hydrogen Storage Options: Technologies and Comparisons for Light-Duty Vehicle Applications  

E-Print Network [OSTI]

Stetson, N. , Solid Hydrogen Storage Systems for PortableA Review of On-Board Hydrogen Storage Alternatives for FuelA. , Materials for Hydrogen Storage, Materials Today,

Burke, Andrew; Gardnier, Monterey

2005-01-01T23:59:59.000Z

348

Hydrogen Storage Options: Technologies and Comparisons for Light-Duty Vehicle Applications  

E-Print Network [OSTI]

Uhlemann, M. , etals. , Hydrogen Storage in Different CarbonEckert, J. , etals. , Hydrogen Storage in Microporous Metal-16, 2003 40. Smalley,E. , Hydrogen Storage Eased, Technology

Burke, Andy; Gardiner, Monterey

2005-01-01T23:59:59.000Z

349

Vehicle Technologies Office Merit Review 2014: Light-Duty Diesel Combuston  

Broader source: Energy.gov [DOE]

Presentation given by Sandia Natonal Laboratories and University of Wisconsin at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation...

350

Advanced Combustion Concepts- Enabling Systems and Solutions (ACCESS) for High Efficiency Light Duty Vehicles  

Broader source: Energy.gov [DOE]

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

351

Advanced Combustion Concepts- Enabling Systems and Solutions (ACCESS) for High Efficiency Light Duty Vehicles  

Broader source: Energy.gov [DOE]

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

352

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

SciTech Connect (OSTI)

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

Greene, David L [ORNL

2010-01-01T23:59:59.000Z

353

Hydrogen Storage Options: Technologies and Comparisons for Light-Duty Vehicle Applications  

E-Print Network [OSTI]

10 kpsi) in carbon fiber-composite tanks, liquid hydrogen incarbon fiber is the highest cost material component of high pressure compressed gas tanks.

Burke, Andy; Gardiner, Monterey

2005-01-01T23:59:59.000Z

354

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

Science Journals Connector (OSTI)

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

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

2008-12-31T23:59:59.000Z

355

High Efficiency Clean Combustion in Multi-Cylinder Light-Duty...  

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

temperature effects to better understand implementation of low temperature combustion processes on multi-cylinder engines (September 30, 2008). FY 2008 Milestone complete...

356

High Efficiency Clean Combustion in Multi-Cylinder Light-Duty...  

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

Adam Dempsey Zhiming Gao, Vitaly Prikhodko, Jim Parks, David Smith and Robert Wagner Fuels, Engines and Emissions Research Center Oak Ridge National Laboratory ACE016 This...

357

The Diesel Engine Powering Light-Duty Vehicles: Today and Tomorrow  

Broader source: Energy.gov [DOE]

2004 Diesel Engine Emissions Reduction (DEER) Conference Presentation: Volkwagen AG, Wolfsburg, Germany

358

High-Efficiency Clean Combustion in Light-Duty Multi-Cylinder Diesel Engines  

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.

359

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

E-Print Network [OSTI]

eet demand for alternative-fuel vehicles in California.Britain MYTHS REGARDING ALTERNATIVE FUEL VEHICLE DEMAND BYinitial market for alternative fuel vehicles (AFVs). We

Nesbitt, Kevin; Sperling, Daniel

1998-01-01T23:59:59.000Z

360

Light-Duty Vehicle CO2 Targets Consistent with 450 ppm CO2 Stabilization  

Science Journals Connector (OSTI)

We include increased shares of unconventional petroleum such as oil sands in the WTT factors, but assume those processes also have efficiency gains (Table S1 in SI-1). ... In a scenario simulating international trade of biofuel, we allow NA and LA to export ethanol to OECD Europe and China so that each of the four regions has the same volume of biofuel available for LDVs beginning in 2030. ... China and OECD Europes glide paths are relaxed by the ethanol imports, increasing 8% and up to 96%, respectively. ...

Sandra L. Winkler; Timothy J. Wallington; Heiko Maas; Heinz Hass

2014-05-05T23:59:59.000Z

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


361

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

SciTech Connect (OSTI)

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

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

2012-01-01T23:59:59.000Z

362

Transonic Combustion ?- Injection Strategy Development for Supercritical Gasoline Injection-Ignition in a Light Duty Engine  

Broader source: Energy.gov [DOE]

Novel fuel injection equipment enables knock-free ignition with low noise and smoke in compression-ignition engines and low-particulates in spark-ignition engines.

363

Effect of E85 on Tailpipe Emissions from Light-Duty Vehicles  

SciTech Connect (OSTI)

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

Yanowitz, J.; McCormick, R. L.

2009-02-01T23:59:59.000Z

364

High Efficiency Clean Combustion in Multi-Cylinder Light-Duty Engines  

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.

365

Performance of an Organic Rankine Cycle Waste Heat Recovery System for Light Duty Diesel Engines  

Broader source: Energy.gov [DOE]

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

366

Engine coolant technology, performance, and life for light-duty applications  

SciTech Connect (OSTI)

Recently there has been interest by motor vehicle manufacturers in developing longer-lived automotive engine coolants with an emphasis on organic acid technology (OAT). Paradoxically, the lifetime of conventional technology remains largely undefined. Concerns arising from the depleting nature of silicate have led to modern conservative change recommendations of 30,000 to 50,000 miles ({approximately}48,279 to 80,464 km). In the present work, laboratory bench test, engine dynamometer and vehicle service data from traditional silicate, hybrid and nonsilicate coolants are compared and contrasted. A new electrochemical test is used to examine passivation kinetics on aluminum. It is shown that performance and lifetime are independent of chemistry and cannot be generalized. Examples include an American silicate coolant with excellent performance on high-heat-rejecting aluminum (80 W/cm{sup 2}). European and American silicate coolants with performance defined lifetimes in excess of 300,000 miles (482,790 km), and an OAT coolant with laboratory high lead solder protection. It is concluded that the primary benefit of OAT is to meet global specifications that include chemical limitations.

Turcotte, D.E.; Lockwood, F.E. [Valvoline Co., Lexington, KY (United States); Pfitzner, K.K.; Meszaros, L.L. [BASF Aktiengesellschaft, Ludwigshafen (Germany); Listebarger, J.K. [Ashland Chemical, Dublin, OH (United States)

1999-08-01T23:59:59.000Z

367

Hydrogen Storage Options: Technologies and Comparisons for Light-Duty Vehicle Applications  

E-Print Network [OSTI]

hydrogen compressor in parallel with their system to compress boil-off gas. In general the system costs

Burke, Andy; Gardiner, Monterey

2005-01-01T23:59:59.000Z

368

Parametric study for a ceramic diesel particulate trap application on a light duty truck  

Science Journals Connector (OSTI)

The paper presents the results of an experimental evaluation of a number of parameters affecting both the loading and the regeneration conditions of the cellular cordierite diesel particulate filler (DPF), when a cerium based fuel additive is used to enhance regeneration at low temperatures. The parameters studied comprised the size of the filter, its positioning along the exhaust pipe and the additive concentration in the fuel. The results show that filter regeneration was always possible at continuous low speed driving at relatively high filter backpressure levels, with a measurable effect on fuel consumption. On the other hand, the New European Driving Cycle, with alternate urban and extra urban operation of the vehicle, always provides the necessary conditions for trap regeneration, affecting neither the fuel consumption nor the maximum engine power output.

Konstantin Pattas; Nikolas Kyriakis; Zissis Samaras; Theodoros Manikas; Panaylotis Pistikopoulos; William Mustelt; Pierre Rouveirolles

1998-01-01T23:59:59.000Z

369

A Study of Emissions from a Light Duty Diesel Engine with the European Particulate Measurement Programme  

Broader source: Energy.gov [DOE]

A comparison of regulated emissions measured by the California Air Resources Board (CARB) and particle number emissions with the Joint Research Committee participating international laboratories was a success, and the CARB measurements and standard deviations compared well with the other laboratories

370

Quantum hacking of a continuous-variable quantum-key-distribution system using a wavelength attack  

Science Journals Connector (OSTI)

The security proofs of continuous-variable quantum key distribution are based on the assumptions that the eavesdropper can neither act on the local oscillator nor control Bob's beam splitter. These assumptions may be invalid in practice due to potential imperfections in the implementations of such protocols. In this paper, we consider the problem of transmitting the local oscillator in a public channel and propose a wavelength attack which allows the eavesdropper to control the intensity transmission of Bob's beam splitter by switching the wavelength of the input light. Specifically we target continuous-variable quantum key distribution systems that use the heterodyne detection protocol using either direct or reverse reconciliation. Our attack is proved to be feasible and renders all of the final keys shared between the legitimate parties insecure, even if they have monitored the intensity of the local oscillator. To prevent our attack on commercial systems, a simple wavelength filter should be randomly added before performing monitoring detection.

Jing-Zheng Huang; Christian Weedbrook; Zhen-Qiang Yin; Shuang Wang; Hong-Wei Li; Wei Chen; Guang-Can Guo; Zheng-Fu Han

2013-06-24T23:59:59.000Z

371

Quantum Hacking on Continuous-Variable Quantum Key Distribution System using a Wavelength Attack  

E-Print Network [OSTI]

The security proofs of continuous-variable quantum key distribution are based on the assumptions that the eavesdropper can neither act on the local oscillator nor control Bob's beam splitter. These assumptions may be invalid in practice due to potential imperfections in the implementations of such protocols. In this paper, we consider the problem of transmitting the local oscillator in a public channel and propose a wavelength attack which can allow the eavesdropper to control the intensity transmission of Bob's beam splitter by switching the wavelength of the input light. Specifically we target continuous-variable quantum key distribution systems that use the heterodyne detection protocol using either direct or reverse reconciliation. Our attack is proved to be feasible and renders all of the final key shared between the legitimate parties insecure, even if they have monitored the intensity of the local oscillator. To prevent our attack on commercial systems, a simple wavelength filter should be added before performing the monitoring detection.

Jing-Zheng Huang; Christian Weedbrook; Zhen-Qiang Yin; Shuang Wang; Hong-Wei Li; Wei Chen; Guang-Can Guo; Zheng-Fu Han

2013-02-01T23:59:59.000Z

372

EPAct Transportation Regulatory Activities: Key Terms  

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

Key Terms Key Terms to someone by E-mail Share EPAct Transportation Regulatory Activities: Key Terms on Facebook Tweet about EPAct Transportation Regulatory Activities: Key Terms on Twitter Bookmark EPAct Transportation Regulatory Activities: Key Terms on Google Bookmark EPAct Transportation Regulatory Activities: Key Terms on Delicious Rank EPAct Transportation Regulatory Activities: Key Terms on Digg Find More places to share EPAct Transportation Regulatory Activities: Key Terms on AddThis.com... Home About Covered Fleets Compliance Methods Alternative Fuel Petitions Resources Guidance Documents Statutes & Regulations Program Annual Reports Fact Sheets Newsletter Case Studies Workshops Tools Key Terms FAQs Key Terms The Energy Policy Act (EPAct) includes specific terminology related to

373

EPAct Transportation Regulatory Activities: Key Federal Statutes  

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

Key Key Federal Statutes to someone by E-mail Share EPAct Transportation Regulatory Activities: Key Federal Statutes on Facebook Tweet about EPAct Transportation Regulatory Activities: Key Federal Statutes on Twitter Bookmark EPAct Transportation Regulatory Activities: Key Federal Statutes on Google Bookmark EPAct Transportation Regulatory Activities: Key Federal Statutes on Delicious Rank EPAct Transportation Regulatory Activities: Key Federal Statutes on Digg Find More places to share EPAct Transportation Regulatory Activities: Key Federal Statutes on AddThis.com... Home About Contacts Covered Fleets Compliance Methods Alternative Fuel Petitions Resources Key Federal Statutes These are excerpts from federal statutes that established key Energy Policy Act (EPAct) transportation regulatory activities.

374

EIA-Assumptions to the Annual Energy Outlook - International Energy Module  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2007 International Energy Module The International Energy Module (IEM) performs two tasks in all NEMS runs. First, the module reads exogenously derived supply curves, initial price paths and international regional supply and demand levels into NEMS. These quantities are not modeled directly in NEMS because NEMS is not an international model. Previous versions of the IEM adjusted these quantities after reading in initial values. In an attempt to more closely integrate the AEO2007 with the IEO2006 and the STEO some functionality was removed from the IEM. More analyst time was devoted to analyzing price relationships between marker crude oils and refined products. A new exogenous oil supply model, Generate World Oil Balances (GWOB), was also developed to incorporate actual investment occurring in the international oil market through 2015 and resource assumptions through 2030. The GWOB model provides annual country level oil production detail for eight conventional and unconventional oils.

375

Paducah DUF6 Conversion Final EIS - Chapter 4: Environmental Impact Assessment Approach, Assumptions, and Methodology  

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

Paducah DUF Paducah DUF 6 Conversion Final EIS 4 ENVIRONMENTAL IMPACT ASSESSMENT APPROACH, ASSUMPTIONS, AND METHODOLOGY This EIS evaluates potential impacts on human health and the natural environment from building and operating a DUF 6 conversion facility at three alternative locations at the Paducah site and for a no action alternative. These impacts might be positive, in that they would improve conditions in the human or natural environment, or negative, in that they would cause a decline in those conditions. This chapter provides an overview of the methods used to estimate the potential impacts associated with the EIS alternatives, summarizes the major assumptions that formed the basis of the evaluation, and provides some background information on human health

376

EIA-Assumptions to the Annual Energy Outlook - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2007 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2007, DOE/EIA- M068(2007). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

377

Geotechnical characterization of calcareous sediments from the Dry Tortugas Keys and Marquesas Keys CBBL SRP study sites, Lower Florida Keys  

Science Journals Connector (OSTI)

Geotechnical characteristics of carbonate sediments from two test sites (Dry Tortugas Keys and Marquesas Keys) in the Lower Florida Keys were investigated as part of the Coastal Benthic Boundary Layer Special...

G. Veyera; H. Brandes; A. Silva

2001-11-01T23:59:59.000Z

378

Monroe County Extension Services Key West Office  

E-Print Network [OSTI]

Energy Services: 305-295-1010 Florida Keys Electric Co-op: 305-852-2431 Monroe County Roads & Bridges-292-4501 http://monroe.ifas.ufl.edu Key Largo Office: 102050 Overseas Highway, Room 244 City and County Tree Lower Keys: 305-797-4929 Upper Keys: 305-852-7161 Contact local tree services throughout the Keys

Jawitz, James W.

379

Key-Insulated Symmetric Key Cryptography and Mitigating Attacks against Cryptographic Cloud Software  

E-Print Network [OSTI]

Key-Insulated Symmetric Key Cryptography and Mitigating Attacks against Cryptographic Cloud- sociated cryptographic keys in their entirety. In this paper, we investigate key-insulated symmetric key. To illustrate the feasibility of key-insulated symmetric key cryptography, we also report a proof

Dodis, Yevgeniy

380

Bases, Assumptions, and Results of the Flowsheet Calculations for the Decision Phase Salt Disposition Alternatives  

SciTech Connect (OSTI)

The High Level Waste (HLW) Salt Disposition Systems Engineering Team was formed on March 13, 1998, and chartered to identify options, evaluate alternatives, and recommend a selected alternative(s) for processing HLW salt to a permitted wasteform. This requirement arises because the existing In-Tank Precipitation process at the Savannah River Site, as currently configured, cannot simultaneously meet the HLW production and Authorization Basis safety requirements. This engineering study was performed in four phases. This document provides the technical bases, assumptions, and results of this engineering study.

Dimenna, R.A.; Jacobs, R.A.; Taylor, G.A.; Durate, O.E.; Paul, P.K.; Elder, H.H.; Pike, J.A.; Fowler, J.R.; Rutland, P.L.; Gregory, M.V.; Smith III, F.G.; Hang, T.; Subosits, S.G.; Campbell, S.G.

2001-03-26T23:59:59.000Z

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


381

Diversion assumptions for high-powered research reactors. ISPO C-50 Phase 1  

SciTech Connect (OSTI)

This study deals with diversion assumptions for high-powered research reactors -- specifically, MTR fuel; pool- or tank-type research reactors with light-water moderator; and water, beryllium, or graphite reflectors, and which have a power level of 25 MW(t) or more. The objective is to provide assistance to the IAEA in documentation of criteria and inspection observables related to undeclared plutonium production in the reactors described above, including: criteria for undeclared plutonium production, necessary design information for implementation of these criteria, verification guidelines including neutron physics and heat transfer, and safeguards measures to facilitate the detection of undeclared plutonium production at large research reactors.

Binford, F.T.

1984-01-01T23:59:59.000Z

382

Vehicle Technologies Office: Key Activities in Vehicles  

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

Key Activities in Key Activities in Vehicles to someone by E-mail Share Vehicle Technologies Office: Key Activities in Vehicles on Facebook Tweet about Vehicle Technologies Office: Key Activities in Vehicles on Twitter Bookmark Vehicle Technologies Office: Key Activities in Vehicles on Google Bookmark Vehicle Technologies Office: Key Activities in Vehicles on Delicious Rank Vehicle Technologies Office: Key Activities in Vehicles on Digg Find More places to share Vehicle Technologies Office: Key Activities in Vehicles on AddThis.com... Key Activities Mission, Vision, & Goals Plans, Implementation, & Results Organization & Contacts National Laboratories Budget Partnerships Key Activities in Vehicles We conduct work in four key areas to develop and deploy vehicle technologies that reduce the use of petroleum while maintaining or

383

Fuel Cell Technologies Office: Key Activities  

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

Key Activities to Key Activities to someone by E-mail Share Fuel Cell Technologies Office: Key Activities on Facebook Tweet about Fuel Cell Technologies Office: Key Activities on Twitter Bookmark Fuel Cell Technologies Office: Key Activities on Google Bookmark Fuel Cell Technologies Office: Key Activities on Delicious Rank Fuel Cell Technologies Office: Key Activities on Digg Find More places to share Fuel Cell Technologies Office: Key Activities on AddThis.com... Key Activities Plans, Implementation, & Results Accomplishments Organization Chart & Contacts Quick Links Hydrogen Production Hydrogen Delivery Hydrogen Storage Fuel Cells Technology Validation Manufacturing Codes & Standards Education Systems Analysis Contacts Key Activities The Fuel Cell Technologies Office conducts work in several key areas to

384

Assumptions to the Annual Energy Outlook 2001 - Table 3. Coal-Related  

Gasoline and Diesel Fuel Update (EIA)

Coal-Related Methane Assumptions Coal-Related Methane Assumptions Northern Appalachia Central Appalachia Southern Appalachia Eastern Interior Western Fraction of underground coal production at: Gassy mines 0.885 0.368 0.971 0.876 0.681 Nongassy mines 0.115 0.632 0.029 0.124 0.319 Production from mines with degasification systems (fraction of underground production) 0.541 0.074 0.810 0.067 0.056 Emission factors (kilograms methane per short ton of coal produced) Underground Mining Gassy mines 6.047 5.641 27.346 2.988 6.027 Nongassy mines 0.362 0.076 15.959 0.285 0.245 Degassified mines 4.085 37.724 22.025 0.310 0.000 Surface Mining 0.706 0.706 0.706 0.706 0.706 Post-Mining, underground-mined 1.505 1.505 1.505 1.505 1.505 Post-Mining, surface-mined 0.061 0.061 0.061 0.061 0.061 Methane recovery at active coal mines

385

Public/private key certification authority and key distribution. Draft  

SciTech Connect (OSTI)

Traditional encryption, which protects messages from prying eyes, has been used for many decades. The present concepts of encryption are built from that heritage. Utilization of modern software-based encryption techniques implies much more than simply converting files to an unreadable form. Ubiquitous use of computers and advances in encryption technology coupled with the use of wide-area networking completely changed the reasons for utilizing encryption technology. The technology demands a new and extensive infrastructure to support these functions. Full understanding of these functions, their utility and value, and the need for an infrastructure, takes extensive exposure to the new paradigm. This paper addresses issues surrounding the establishment and operation of a key management system (i.e., certification authority) that is essential to the successful implementation and wide-spread use of encryption.

Long, J.P.; Christensen, M.J.; Sturtevant, A.P.; Johnston, W.E.

1995-09-25T23:59:59.000Z

386

SunShot Initiative: Key Activities  

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

Key Activities Key Activities Printable Version Share this resource Send a link to SunShot Initiative: Key Activities to someone by E-mail Share SunShot Initiative: Key Activities on Facebook Tweet about SunShot Initiative: Key Activities on Twitter Bookmark SunShot Initiative: Key Activities on Google Bookmark SunShot Initiative: Key Activities on Delicious Rank SunShot Initiative: Key Activities on Digg Find More places to share SunShot Initiative: Key Activities on AddThis.com... Concentrating Solar Power Photovoltaics Systems Integration Balance of Systems Key Activities Under the SunShot Initiative, the DOE Solar Office issues competitive solicitations that fund selective research projects aimed at transforming the ways the United States generates, stores, and utilizes solar energy.

387

Alternative Fuels Data Center: Key Federal Legislation  

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

Key Federal Key Federal Legislation to someone by E-mail Share Alternative Fuels Data Center: Key Federal Legislation on Facebook Tweet about Alternative Fuels Data Center: Key Federal Legislation on Twitter Bookmark Alternative Fuels Data Center: Key Federal Legislation on Google Bookmark Alternative Fuels Data Center: Key Federal Legislation on Delicious Rank Alternative Fuels Data Center: Key Federal Legislation on Digg Find More places to share Alternative Fuels Data Center: Key Federal Legislation on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Key Federal Legislation The information below includes a brief chronology and summaries of key federal legislation related to alternative fuels and vehicles, air quality,

388

Measurement-device-independent quantum key distribution based on Bell's inequality  

E-Print Network [OSTI]

We propose two quantum key distribution (QKD) protocols based on Bell's inequality, which can be considered as modified time-reversed E91 protocol. Similar to the measurement-device-independent quantum key distribution (MDI-QKD) protocol, the first scheme requires the assumption that Alice and Bob perfectly characterize the encoded quantum states. However, our second protocol does not require this assumption, which can defeat more known and unknown source-side attacks compared with the MDI-QKD. The two protocols are naturally immune to all hacking attacks with respect to detections. Therefore, the security of the two protocols can be proven based on the violation of Bell's inequality with measurement data under fair-sampling assumption. In our simulation, the results of both protocols show that long-distance quantum key distribution over 200 km remains secure with conventional lasers in the asymptotic-data case. We present a new technique to estimate the Bell's inequality violation, which can also be applied to other fields of quantum information processing.

Hua-Lei Yin; Yao Fu; Yan-Lin Tang; Yuan Li; Teng-Yun Chen; Zeng-Bing Chen

2014-07-28T23:59:59.000Z

389

Renewable Energy Community: Key Elements  

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

of Energy of Energy Office of Energy Efficiency & Renewable Energy National Renewable Energy Laboratory Innovation for Our Energy Future A Renewable Energy Community: Key Elements A reinvented community to meet untapped customer needs for shelter and transportation with minimal environmental impacts, stable energy costs, and a sense of belonging N. Carlisle, J. Elling, and T. Penney Technical Report NREL/TP-540-42774 January 2008 NREL is operated by Midwest Research Institute ● Battelle Contract No. DE-AC36-99-GO10337 National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov Operated for the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy by Midwest Research Institute * Battelle

390

EIA-Assumptions to the Annual Energy Outlook - Oil and Gas Supply Module  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module Assumptions to the Annual Energy Outlook 2007 Oil and Gas Supply Module Figure 7. Oil and Gas Supply Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas supply on a regional basis (Figure 7). A detailed description of the OGSM is provided in the EIA publication, Model Documentation Report: The Oil and Gas Supply Module (OGSM), DOE/EIA-M063(2006), (Washington, DC, 2006). The OGSM provides crude oil and natural gas short-term supply parameters to both the Natural Gas Transmission and Distribution Module and the Petroleum Market Module. The OGSM simulates the activity of numerous firms that produce oil and natural

391

EIA - Assumptions to the Annual Energy Outlook 2008 - Oil and Gas Supply  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module Assumptions to the Annual Energy Outlook 2008 Oil and Gas Supply Module Figure 7. Oil and Gas Supply Module. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas supply on a regional basis (Figure 7). A detailed description of the OGSM is provided in the EIA publication, Model Documentation Report: The Oil and Gas Supply Module (OGSM), DOE/EIA-M063(2007), (Washington, DC, 2007). The OGSM provides crude oil and natural gas short-term supply parameters to both the Natural Gas Transmission and Distribution Module and the Petroleum Market Module. The OGSM simulates the activity of numerous firms that produce oil and natural

392

EIA-Assumptions to the Annual Energy Outlook - Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumptions to the Annual Energy Outlook 2007 Petroleum Market Module Figure 9. Petroleum Administration for Defense Districts. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, unfinished oil imports, other refinery inputs (including alcohols, ethers, and bioesters), natural gas plant liquids production, and refinery processing gain. In addition, the PMM projects capacity expansion and fuel consumption at domestic refineries. The PMM contains a linear programming (LP) representation of U.S. refining

393

EIA-Assumptions to the Annual Energy Outlook - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2007 Residential Demand Module Figure 5. United States Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" by appliance (or UEC-in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new

394

EIA-Assumptions to the Annual Energy Outlook - National Gas Transmission  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumptions to the Annual Energy Outlook 2007 National Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and Distribution Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution

395

EIA-Assumptions to the Annual Energy Outlook - Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2007 Commercial Demand Module The NEMS Commercial Sector Demand Module generates forecasts of commercial sector energy demand through 2030. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.12

396

Assumptions to the Annual Energy Outlook 2000-Table 1. Summary of the  

Gasoline and Diesel Fuel Update (EIA)

0 Cases 0 Cases Case Name Description Integration mode Reference Baseline economic growth, world oil price, and technology assumptions Fully Integrated Low Economic Growth Gross Domestic product grows at an average annual rate of 1.7 percent, compared to the reference case growth of 2.2 percent. Fully Integrated High Economic Growth Gross domestic product grows at an average annual rate of 2.6 percent, compared to the reference case growth of 2.2 percent. Fully Integrated Low World Oil Price World oil prices are $14.90 per barrel in 2020, compared to $22.04 per barrel in the reference case. Fully Integrated High World Oil Price World oil prices are $28.04 per barrel in 2020, compared to $22.04 per barrel in the reference case. Fully Integrated Residential: 2000 Technology

397

Assumptions to the Annual Energy Outlook - Oil and Gas Supply Module  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module Assumption to the Annual Energy Outlook Oil and Gas Supply Module Figure 7. Oil and Gas Supply Model Regions. Having problems, call our National Energy Information Center at 202-586-8800 for help. Table 50. Crude Oil Technically Recoverable Resources (Billion barrels) Printer Friendly Version Crude Oil Resource Category As of January 1, 2002 Undiscovered 56.02 Onshore 19.33 Northeast 1.47 Gulf Coast 4.76 Midcontinent 1.12 Southwest 3.25 Rocky Moutain 5.73 West Coast 3.00 Offshore 36.69 Deep (>200 meter W.D.) 35.01 Shallow (0-200 meter W.D.) 1.69 Inferred Reserves 49.14 Onshore 37.78 Northeast 0.79 Gulf Coast 0.80 Midcontinent 3.73 Southwest 14.61 Rocky Mountain 9.91 West Coast 7.94

398

EIA - Assumptions to the Annual Energy Outlook 2009 - Oil and Gas Supply  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module Assumptions to the Annual Energy Outlook 2009 Oil and Gas Supply Module Figure 7. Oil and Gas Supply Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. Table 9.1. Crude Oil Technically Recoverable Resources. Need help, contact the Naitonal Energy Information Center at 202-586-8800. printer-friendly version Table 9.2. Natural Gas Technically Recoverable Resources. Need help, contact the National Energy Information Center at 202-586-8800. Table 9.2. Continued printer-friendly version Table 9.3. Assumed Size and Initial Production year of Major Announced Deepwater Discoveries. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version Table 9.4. Assumed Annual Rates of Technological Progress for Conventional Crude Oil and Natural Gas Sources. Need help, contact the National Energy Information Center at 202-586-8800.

399

Assumptions to the Annual Energy Outlook 2001 - Table 1. Summary of AEO2001  

Gasoline and Diesel Fuel Update (EIA)

1 Cases 1 Cases Case name Description Integration mode Reference Baseline economic growth, world oil price, and technology assumptions Fully integrated Low Economic Growth Gross domestic product grows at an average annual rate of 2.5 percent, compared to the reference case growth of 3.0 percent. Fully integrated High Economic Growth Gross domestic product grows at an average annual rate of 3.5 percent, compared to the reference case growth of 3.0 percent. Fully integrated Low World Oil Price World oil prices are $15.10 per barrel in 2020, compared to $22.41 per barrel in the reference case. Fully integrated High World Oil Price World oil prices are $28.42 per barrel in 2020, compared to $22.41 per barrel in the reference case. Fully integrated Residential: 2001 Technology

400

EIA - Assumptions to the Annual Energy Outlook 2010 - Oil and Gas Supply  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module Assumptions to the Annual Energy Outlook 2010 Oil and Gas Supply Module Figure 8. Natural Gas Transmission and Distribution Model Regions. The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas natural gas exploration and development on a regional basis (Figure 7). The OGSM is organized into 4 submodules: Onshore Lower 48 Oil and Gas Supply Submodule, Offshore Oil and Gas Supply Submodule, Oil Shale Supply submodule, and Alaska Oil and Gas Supply Submodule. A detailed description of the OGSM is provided in the EIA publication, Model Documentation Report: The Oil and Gas Supply Module (OGSM), DOE/EIA-M063(2010), (Washington, DC, 2010). The OGSM provides crude oil and natural gas short-term supply parameters to both the Natural

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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

EIA-Assumptions to the Annual Energy Outlook - Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2007 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 21 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS25 data.

402

Management strategies for endangered Florida Key deer  

E-Print Network [OSTI]

Urban development is of particular concern in the management of endangered Key deer (Odocoileous virginianus clavium) because highway mortality is the greatest single cause of deer mortality (? 50%), and the rural community of Big Pine Key, Florida...

Peterson, Markus Nils

2004-09-30T23:59:59.000Z

403

Assessment of Gasification-Based Biorefining at Kraft Pulp and Paper Mills in the United States, Part A: Background and Assumptions  

SciTech Connect (OSTI)

Commercialization of black liquor and biomass gasification technologies is anticipated in the 2010-2015 time frame, and synthesis gas from gasifiers can be converted into liquid fuels using catalytic synthesis technologies that are already commercially established in the gas-to-liquids or coal-to-liquids industries. This set of two papers describes key results from a major assessment of the prospective energy, environmental, and financial performance of commercial gasification-based biorefineries integrated with kraft pulp and paper mills [1]. Seven detailed biorefinery designs were developed for a reference mill in the southeastern United States, together with the associated mass/energy balances, air emissions estimates, and capital investment requirements. The biorefineries provide chemical recovery services and co-produce process steam for the mill, some electricity, and one of three liquid fuels: a Fischer-Tropsch synthetic crude oil (which could be refined to vehicle fuels at an existing petroleum refinery), dimethyl ether (a diesel engine fuel or propane substitute), or an ethanol-rich mixed-alcohol product. This paper describes the key assumptions that underlie the biorefinery designs. Part B will present analytical results.

Larson, E. D.; Consonni, S.; Katofsky, R. E.; Iisa, K.; Frederick, W. J., Jr.

2008-11-01T23:59:59.000Z

404

EIA-Assumptions to the Annual Energy Outlook - Renewable Fuels Module  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module Assumptions to the Annual Energy Outlook 2007 Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for forecasts of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has seven submodules representing various renewable energy sources, biomass, geothermal, conventional hydroelectricity, landfill gas, solar thermal, solar photovoltaics, and wind.112 Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as water, wind, and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was one of the first electric generation technologies, to newer power systems using biomass, geothermal, LFG, solar, and wind energy. In some cases, they require technological innovation to become cost effective or have inherent characteristics, such as intermittency, which make their penetration into the electricity grid dependent upon new methods for integration within utility system plans or upon the availability of low-cost energy storage systems.

405

50-year-old assumptions about strength muscled aside | Argonne National  

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

C. David Williams with an X-ray diffraction apparatus used to measure lattice spacing of filaments in moth wing muscle samples. To view a larger version of the image, click on it. Credit: A. Kidder/University of Washington. C. David Williams with an X-ray diffraction apparatus used to measure lattice spacing of filaments in moth wing muscle samples. To view a larger version of the image, click on it. Credit: A. Kidder/University of Washington. C. David Williams with an X-ray diffraction apparatus used to measure lattice spacing of filaments in moth wing muscle samples. To view a larger version of the image, click on it. Credit: A. Kidder/University of Washington. To view a larger, downloadable version of the image, click on it. To view a larger, downloadable version of the image, click on it. 50-year-old assumptions about strength muscled aside July 11, 2013 Tweet EmailPrint LEMONT, Ill. - Doctors have a new way of thinking about how to treat heart and skeletal muscle diseases. Body builders have a new way of

406

Special relativity as the limit of an Aristotelian universal friction theory under Reye's assumption  

E-Print Network [OSTI]

This work explores a classical mechanical theory under two further assumptions: (a) there is a universal dry friction force (Aristotelian mechanics), and (b) the variation of the mass of a body due to wear is proportional to the work done by the friction force on the body (Reye's hypothesis). It is shown that mass depends on velocity as in Special Relativity, and that the velocity is constant for a particular characteristic value. In the limit of vanishing friction the theory satisfies a relativity principle as bodies do not decelerate and, therefore, the absolute frame becomes unobservable. However, the limit theory is not Newtonian mechanics, with its Galilei group symmetry, but rather Special Relativity. This result suggests to regard Special Relativity as the limit of a theory presenting universal friction and exchange of mass-energy with a reservoir (vacuum). Thus, quite surprisingly, Special Relativity follows from the absolute space (ether) concept and could have been discovered following studies of Aristotelian mechanics and friction. We end the work confronting the full theory with observations. It predicts the Hubble law through tired light, and hence it is incompatible with supernova light curves unless both mechanisms of tired light (locally) and universe expansion (non-locally) are at work. It also nicely accounts for some challenging numerical coincidences involving phenomena under low acceleration.

E. Minguzzi

2014-11-28T23:59:59.000Z

407

DSM of Newton type for solving operator equations F(u) = f with minimal smoothness assumptions on F  

Science Journals Connector (OSTI)

This paper is a review of the authors' results on the Dynamical Systems Method (DSM) for solving operator equation (*) F(u) = f. It is assumed that (*) is solvable. The novel feature of the results is the minimal assumption on the smoothness of F. It is assumed that F is continuously Frechet differentiable, but no smoothness assumptions on F?(u) are imposed. The DSM for solving equation (*) is developed. Under weak assumptions global existence of the solution u(t) is proved, the existence of u(?) is established, and the relation F(u(?)) = f is obtained. The DSM is developed for a stable solution of equation (*) when noisy data f? are given, ''f ? f?'' ? ?.

N.S. Hoang; A.G. Ramm

2010-01-01T23:59:59.000Z

408

Counterfactual quantum key distribution with high efficiency  

SciTech Connect (OSTI)

In a counterfactual quantum key distribution scheme, a secret key can be generated merely by transmitting the split vacuum pulses of single particles. We improve the efficiency of the first quantum key distribution scheme based on the counterfactual phenomenon. This scheme not only achieves the same security level as the original one but also has higher efficiency. We also analyze how to achieve the optimal efficiency under various conditions.

Sun Ying [State Key Laboratory of Networking and SwitchingTechnology, Beijing University of Posts and Telecommunications, Beijing 100876 (China); Beijing Electronic Science and Technology Institute, Beijing 100070 (China); Wen Qiaoyan [State Key Laboratory of Networking and SwitchingTechnology, Beijing University of Posts and Telecommunications, Beijing 100876 (China)

2010-11-15T23:59:59.000Z

409

Monroe County Extension Services Key West Office  

E-Print Network [OSTI]

-292-4501 http://monroe.ifas.ufl.edu Key Largo Office: 102050 Overseas Highway, Room 244 City and County Tree Energy Services: 305-295-1010 Florida Keys Electric Co-op: 305-852-2431 Monroe County Roads & Bridges conditions based on USDA zone, water and light requirements, soil conditions, salt and wind tolerance

Florida, University of

410

Older People With Dementia Cared for Mostly at Home Study challenges assumption that most patients die in nursing homes  

E-Print Network [OSTI]

Older People With Dementia Cared for Mostly at Home Study challenges assumption that most patients die in nursing homes -- Robert Preidt FRIDAY, May 11 (HealthDay News) -- Many elderly people with dementia live and die at home rather than in nursing homes, a new study has found. The findings challenge

Belogay, Eugene A.

411

Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1  

E-Print Network [OSTI]

LBL-34045 UC-1600 Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting-uses include Heating, Ventilation and Air Conditioning (HVAC). Our analysis uses the modeling framework provided by the HVAC module in the Residential End-Use Energy Planning System (REEPS), which was developed

412

residential sector key indicators | OpenEI  

Open Energy Info (EERE)

residential sector key indicators residential sector key indicators Dataset Summary Description This dataset is the 2009 United States Residential Sector Key Indicators and Consumption, part of the Source EIA Date Released March 01st, 2009 (5 years ago) Date Updated Unknown Keywords AEO consumption EIA energy residential sector key indicators Data application/vnd.ms-excel icon 2009 Residential Sector Key Indicators and Consumption (xls, 55.3 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment http://www.eia.gov/abouteia/copyrights_reuse.cfm Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote

413

Fuel Cell Technologies Office: Key Activities  

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

Key Activities Key Activities The Fuel Cell Technologies Office conducts work in several key areas to advance the development and commercialization of hydrogen and fuel cell technologies. Research, Development, and Demonstration Key areas of research, development, and demonstration (RD&D) include the following: Fuel Cell R&D, which seeks to improve the durability, reduce the cost, and improve the performance of fuel cell systems, through advances in fuel cell stack and balance of plant components Hydrogen Fuel R&D, which focuses on enabling the production of low-cost hydrogen fuel from diverse renewable pathways and addressing key challenges to hydrogen delivery and storage Manufacturing R&D, which works to develop and demonstrate advanced manufacturing technologies and processes that will reduce the cost of fuel cell systems and hydrogen technologies

414

Captured key electrical safety lockout system  

DOE Patents [OSTI]

A safety lockout apparatus for an electrical circuit includes an electrical switch, a key, a lock and a blocking mechanism. The electrical switch is movable between an ON position at which the electrical circuit is energized and an OFF position at which the electrical circuit is deactivated. The lock is adapted to receive the key and is rotatable among a plurality of positions by the key. The key is only insertable and removable when the lock is at a preselected position. The lock is maintained in the preselected position when the key is removed from the lock. The blocking mechanism physically maintains the switch in its OFF position when the key is removed from the lock. The blocking mechanism preferably includes a member driven by the lock between a first position at which the electrical switch is movable between its ON and OFF positions and a second position at which the member physically maintains the electrical switch in its OFF position. Advantageously, the driven member`s second position corresponds to the preselected position at which the key can be removed from and inserted into the lock. 7 figs.

Darimont, D.E.

1995-10-31T23:59:59.000Z

415

Captured key electrical safety lockout system  

SciTech Connect (OSTI)

A safety lockout apparatus for an electrical circuit includes an electrical switch, a key, a lock and a blocking mechanism. The electrical switch is movable between an ON position at which the electrical circuit is energized and an OFF position at which the electrical circuit is deactivated. The lock is adapted to receive the key and is rotatable among a plurality of positions by the key. The key is only insertable and removable when the lock is at a preselected position. The lock is maintained in the preselected position when the key is removed from the lock. The blocking mechanism physically maintains the switch in its OFF position when the key is removed from the lock. The blocking mechanism preferably includes a member driven by the lock between a first position at which the electrical switch is movable between its ON and OFF positions and a second position at which the member physically maintains the electrical switch in its OFF position. Advantageously, the driven member's second position corresponds to the preselected position at which the key can be removed from and inserted into the lock.

Darimont, Daniel E. (Aurora, IL)

1995-01-01T23:59:59.000Z

416

Research Summary Key Ingredients of Collaborative Management  

E-Print Network [OSTI]

, wildlife management and water catchments. This project, developed in discussion with stakeholders, soughtResearch Summary Key Ingredients of Collaborative Management It is widely accepted that collaboration amongst stakeholders can lead to more sustainable land-management. Voluntary collaboration

417

Extracting secret keys from integrated circuits  

E-Print Network [OSTI]

Modern cryptographic protocols are based on the premise that only authorized participants can obtain secret keys and access to information systems. However, various kinds of tampering methods have been devised to extract ...

Lim, Daihyun, 1976-

2004-01-01T23:59:59.000Z

418

Composite keys? | OpenEI Community  

Open Energy Info (EERE)

Composite keys? Composite keys? Home > Groups > Databus Does DataBus support using composite keys in a Table definition? If not, is there a way to automatically generate a unique value for each entry that is uploaded? Submitted by Hopcroft on 5 September, 2013 - 17:13 1 answer Points: 0 At this time, no, and no way to generate unique key either right now. You can submit a feature request for this though on github. thanks, Dean Deanhiller on 6 September, 2013 - 06:58 Groups Menu You must login in order to post into this group. Recent content Go to My Databus->Data Streams... yes, it is done the same way y... Update rows? How to use streaming chart? if you are an administrator, s... more Group members (6) Managers: Deanhiller Recent members: Hopcroft Vikasgoyal Ksearight NickL

419

Aspects of Key Largo woodrat ecology  

E-Print Network [OSTI]

for the last 25 years. Population 6 estimates also suggest that the KLWR population is critically low and at great risk of extinction. INTRODUCTION The manatee (Trichechus manatus), Florida panther (Puma concolor coryi), and Key deer (Odocoileus...). Currently, money, management, man-power, research, and education are focused on Florida?s other more charismatic mega-fauna like the Key deer, manatee, and Florida panther. Similar efforts should be made for the KLWR to determine and eliminate the causes...

McCleery, Robert Alan; Lopez, Roel R.

2004-09-30T23:59:59.000Z

420

Multipartite secret key distillation and bound entanglement  

SciTech Connect (OSTI)

Recently it has been shown that quantum cryptography beyond pure entanglement distillation is possible and a paradigm for the associated protocols has been established. Here we systematically generalize the whole paradigm to the multipartite scenario. We provide constructions of new classes of multipartite bound entangled states, i.e., those with underlying twisted Greenberger-Horne-Zeilinger (GHZ) structure and nonzero distillable cryptographic key. We quantitatively estimate the key from below with the help of the privacy squeezing technique.

Augusiak, Remigiusz; Horodecki, Pawel [Faculty of Applied Physics and Mathematics, Gdansk University of Technology, Narutowicza 11/12, 80-952 Gdansk (Poland) and ICFO-Institute Ciencies Fotoniques, Mediterranean Technology Park, 08860 Castelldefels (Barcelona) (Spain); Faculty of Applied Physics and Mathematics, Gdansk University of Technology, Narutowicza 11/12, 80-952 Gdansk (Poland)

2009-10-15T23:59:59.000Z

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


421

Multipartite secret key distillation and bound entanglement  

E-Print Network [OSTI]

Recently it has been shown that quantum cryptography beyond pure entanglement distillation is possible and a paradigm for the associated protocols has been established. Here we systematically generalize the whole paradigm to the multipartite scenario. We provide constructions of new classes of multipartite bound entangled states, i.e., those with underlying twisted GHZ structure and nonzero distillable cryptographic key. We quantitatively estimate the key from below with help of the privacy squeezing technique.

Remigiusz Augusiak; Pawel Horodecki

2008-11-21T23:59:59.000Z

422

Int. J. Spray and Comb. Dynamics -Accepted for publication 1 About the zero Mach number assumption in  

E-Print Network [OSTI]

as much as the the flame forcing ('Rayleigh') term. Besides, the net effect of the non zero Mach numberInt. J. Spray and Comb. Dynamics - Accepted for publication 1 About the zero Mach number assumption in the calculation of thermoacoustic instabilities By F. N I C O U D1 AND K. W I E C Z O R E K1,2 1 University

Paris-Sud XI, Université de

423

Composable security proof for continuous-variable quantum key distribution with coherent states  

E-Print Network [OSTI]

We give the first composable security proof for continuous-variable quantum key distribution with coherent states against collective attacks. Crucially, in the limit of large blocks the secret key rate converges to the usual value computed from the Holevo bound. Combining our proof with either the de Finetti theorem or the Postselection technique then shows the security of the protocol against general attacks, thereby confirming the long-standing conjecture that Gaussian attacks are optimal asymptotically in the composable security framework. We expect that our parameter estimation procedure, which does not rely on any assumption, will find applications elsewhere, for instance for the reliable quantification of continuous-variable entanglement in finite-size settings.

Anthony Leverrier

2014-08-25T23:59:59.000Z

424

Alternative Fuel Evaluation Program: Alternative Fuel Light Duty Vehicle Project - Data collection responsibilities, techniques, and test procedures  

SciTech Connect (OSTI)

This report describes the data gathering and analysis procedures that support the US Department of Energy`s implementation of the Alternative Motor Fuels Act (AMFA) of 1988. Specifically, test procedures, analytical methods, and data protocols are covered. The aim of these collection and analysis efforts, as mandated by AMFA, is to demonstrate the environmental, economic, and performance characteristics of alternative transportation fuels.

none,

1992-07-01T23:59:59.000Z

425

Effect of Biodiesel Blending on the Speciation of Soluble Organic Fraction from a Light Duty Diesel Engine  

SciTech Connect (OSTI)

Soy methyl ester (SME) biodiesel was volumetrically blended with 2007 certification ultra low sulfur diesel (ULSD) fuel and run in a 1.7L direct-injection common rail diesel engine at one speed-load point (1500rpm, 2.6bar BMEP). Engine fueling rate and injection timing were adjusted to maintain a constant load, while particulate samples were collected in a diesel particulate filter (DPF) and with a dilution tunnel sampling train. The samples collected at these two locations were found to contain different levels of soluble organic fraction (SOF) and the different hydrocarbon species in the SOF. This observation indicates that traditional SOF measurements, in light of the specific sampling procedure used, may not be appropriate to DPF applications.

Strzelec, Andrea [ORNL] [ORNL; Storey, John Morse [ORNL] [ORNL; Lewis Sr, Samuel Arthur [ORNL] [ORNL; Daw, C Stuart [ORNL] [ORNL; Foster, Prof. Dave [University of Wisconsin] [University of Wisconsin; Rutland, Prof. Christopher J. [University of Wisconsin] [University of Wisconsin

2010-01-01T23:59:59.000Z

426

Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: Mobile Electricity technologies and opportunities  

E-Print Network [OSTI]

application of hydrogen and fuel cells in cars and trucks (hydrogen-fuel-cell vehicles (H 2 FCVs) not simply as clean carshydrogen on boats using conventional storage technology necessarily help LD fuel-cell cars

Williams, Brett D; Kurani, Kenneth S

2007-01-01T23:59:59.000Z

427

Future Potential of Hybrid and Diesel Powertrains in the U.S. Light-Duty Vehicle Market  

Broader source: Energy.gov [DOE]

2004 Diesel Engine Emissions Reduction (DEER) Conference Presentation: Oak Ridge National Laboratory

428

Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: Mobile Electricity technologies and opportunities  

E-Print Network [OSTI]

fuel-cell power production efficiencies, and engine degradationfuel-cell power production efficiencies, cooling requirements, and engine degradation

Williams, Brett D; Kurani, Kenneth S

2007-01-01T23:59:59.000Z

429

Comparison of Conventional Diesel and Reactivity Controlled Compression Ignition (RCCI) Combustion in a Light-Duty Engine  

Broader source: Energy.gov [DOE]

CFD modeling was used to compare conventional diesel and dual-fuel Reactivity Controlled Compression Ignition combustion at US Tier 2 Bin 5 NOx levels, while accounting for Diesel Exhaust Fluid needed to meet NOx constraints with aftertreatment.

430

Durability Evaluation of an Integrated Diesel NOx Adsorber A/T Subsystem at Light-Duty Operation  

Broader source: Energy.gov [DOE]

2004 Diesel Engine Emissions Reduction (DEER) Conference Presentation: Cummins Inc. and Johnson-Matthey

431

Vehicle Technologies Office Merit Review 2014: High Efficiency Clean Combustion in Multi-Cylinder Light-Duty Engines  

Broader source: Energy.gov [DOE]

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

432

Vehicle Technologies Office Merit Review 2014: Advanced Combustion Concepts- Enabling Systems and Solutions (ACCESS) for High Efficiency Light Duty Vehicles  

Broader source: Energy.gov [DOE]

Presentation given by Robert Bosch at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about advanced combustion concepts -...

433

Effects of Fuel Sulfur Content and Diesel Oxidation Catalyst on PM Emitted from Light-Duty Diesel Engine  

Science Journals Connector (OSTI)

This work aims at the particle number concentrations and size distributions, sulfate and trace metals emitted from a diesel engine fueled with three different sulfur content fuels, operating with and without DOC. ... Figure 2. Sulfate emission rate and fuel consumption as a function of sulfur content at engine speed of 2690 rpm. ... Thus, the use of low metal fuels and lubricating oil is as important to the environment and human health as low sulfur fuels, especially for engines with after-treatment devices. ...

Hong Zhao; Yunshan Ge; Xiaochen Wang; Jianwei Tan; Aijuan Wang; Kewei You

2010-01-05T23:59:59.000Z

434

Biodiesel Effects on the Operation of U.S. Light Duty Tier 2 Engine and Aftertreatment Systems  

Broader source: Energy.gov [DOE]

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

435

Biodiesel Effects on the Operation of U.S. Light-Duty Tier 2 Engine and Aftertreatment Systems  

Broader source: Energy.gov [DOE]

Results of the NOx adsorber system with catalyst aged to useful life conditions (simulated 120k miles), comparing performance betweem B20 fuel blend and base ultra-low sulfur diesel fuel

436

Ethanol Blends and Engine Operating Strategy Effects on Light-Duty Spark-Ignition Engine Particle Emissions  

SciTech Connect (OSTI)

Spark ignition (SI) engines with direct injection (DI) fueling can improve fuel economy and vehicle power beyond that of port fuel injection (PFI). Despite this distinct advantage, DI fueling often increases particle emissions such that SI exhaust may be subject to future particle emissions regulations. Challenges in controlling particle emissions arise as engines encounter varied fuel composition such as intermediate ethanol blends. Furthermore, modern engines are operated using unconventional breathing strategies with advanced cam-based variable valve actuation systems. In this study, we investigate particle emissions from a multi-cylinder DI engine operated with three different breathing strategies, fueling strategies and fuels. The breathing strategies are conventional throttled operation, early intake valve closing (EIVC) and late intake valve closing (LIVC); the fueling strategies are single injection DI (sDI), multi-injection DI (mDI), and PFI; and the fuels are emissions certification gasoline, E20 and E85. The results indicate the dominant factor influencing particle number concentration emissions for the sDI and mDI strategies is the fuel injection timing. Overly advanced injection timing results in particle formation due to fuel spray impingement on the piston, and overly retarded injection timing results in particle formation due to poor fuel and air mixing. In addition, fuel type has a significant effect on particle emissions for the DI fueling strategies. Gasoline and E20 fuels generate comparable levels of particle emissions, but E85 produces dramatically lower particle number concentration. The particle emissions for E85 are near the detection limit for the FSN instrument, and particle number emissions are one to two orders of magnitude lower for E85 relative to gasoline and E20. We found PFI fueling produces very low levels of particle emissions under all conditions and is much less sensitive to engine breathing strategy and fuel type than the DI fueling strategies. The particle number-size distributions for PFI fueling are of the same order for all of the breathing strategies and fuel types and are one to two orders lower than for the sDI fuel injection strategy with gasoline and E20. Remarkably, the particle emissions for E85 under the sDI fueling strategy are similar to particle emissions with a PFI fueling strategy. Thus by using E85, the efficiency and power advantages of DI fueling can be gained without generating high particle emissions.

Szybist, James P [ORNL; Youngquist, Adam D [ORNL; Barone, Teresa L [ORNL; Storey, John Morse [ORNL; Moore, Wayne [Delphi; Foster, Matthew [Delphi; Confer, Keith [Delphi

2011-01-01T23:59:59.000Z

437

Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: Mobile Electricity technologies and opportunities  

E-Print Network [OSTI]

C. E. S. Thomas, "Hydrogen and Fuel Cells: Pathway to a4-2 incorporates hydrogen and fuel cells into a roadmap thatdevelopment efforts. Hydrogen and fuel-cell technologies are

Williams, Brett D; Kurani, Kenneth S

2007-01-01T23:59:59.000Z

438

Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: Mobile Electricity technologies and opportunities  

E-Print Network [OSTI]

power, and heat generation), and grid-side benefits (peakpre-) heat/cool, etc. ); home recharging using off-peak grid

Williams, Brett D; Kurani, Kenneth S

2007-01-01T23:59:59.000Z

439

High Thermal Efficiency and Low Emissions with Supercritical Gasoline Injection-Ignition in a Light Duty Engine  

Broader source: Energy.gov [DOE]

A novel fuel injector has been developed and tested that addresses the technical challenges of LTC, HCCI, gasoline PPC, and RCCI by reducing complexity and cost.

440

Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: Mobile Electricity technologies and opportunities  

E-Print Network [OSTI]

battery Type Capacity (kWh) Saft Li- Ion Valence LiIon LiIonOvonic NiMH A-hr, 336V) Saft Li-Ion Valence LiIon EEEI

Williams, Brett D; Kurani, Kenneth S

2007-01-01T23:59:59.000Z

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


441

MEASUREMENT OF IMPEDANCE CHARACTERISTICS OF COMPUTER KEYBOARD KEYS1  

E-Print Network [OSTI]

of computer keyboard keys are commonly used: rubber-dome and coil-spring keys. As indicated by their names, a rubber-dome key has a rubber dome under the keycap whereas a coil-spring key has a coil spring under of keys. From a user's perspective, the rubber-dome and coil-spring keys feel different. The properties

Nagurka, Mark L.

442

STGWG Key Outcomes for May 3, 2010  

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

Key Outcomes-Nashville 2010 Page 1 Key Outcomes-Nashville 2010 Page 1 State and Tribal Government Working Group (STGWG) Nashville, Tennessee - May 3, 2010 KEY OUTCOMES OVERVIEW Members appreciated the participation of all DOE officials at the STGWG meeting in Nashville, and are especially appreciative of the participation of high-level DOE management, such as Sky Gallegos, Deputy Assistant Secretary of the Office of Congressional and Intergovernmental Affairs, and Frank Marcinowski, Acting Chief Technical Officer and Deputy Assistant Secretary for Technical and Regulatory Support. Such participation demonstrates a continuing commitment to improve interaction with tribes and states. STGWG looks forward to our next Intergovernmental meeting with DOE in the fall. FULL STGWG ISSUES

443

Composite keys? | OpenEI Community  

Open Energy Info (EERE)

Composite keys? Home > Groups > Databus Does DataBus support using composite keys in a Table definition? If not, is there a way to automatically generate a unique value for each entry that is uploaded? Submitted by Hopcroft on 5 September, 2013 - 17:13 1 answer Points: 0 At this time, no, and no way to generate unique key either right now. You can submit a feature request for this though on github. thanks, Dean Deanhiller on 6 September, 2013 - 06:58 Groups Menu You must login in order to post into this group. Recent content Go to My Databus->Data Streams... yes, it is done the same way y... Update rows? How to use streaming chart? if you are an administrator, s... more Group members (7) Managers: Deanhiller Recent members: Bradmin Hopcroft Vikasgoyal Ksearight

444

Mediated Semi-Quantum Key Distribution  

E-Print Network [OSTI]

In this paper, we design a new quantum key distribution protocol, allowing two limited semi-quantum or "classical" users to establish a shared secret key with the help of a fully quantum server. A semi-quantum user can only prepare and measure qubits in the computational basis and so must rely on this quantum server to produce qubits in alternative bases and also to perform alternative measurements. However, we assume that the sever is untrusted and we prove the unconditional security of our protocol even in the worst case: when this quantum server is an all-powerful adversary. We also compute a lower bound of the key rate of our protocol, in the asymptotic scenario, as a function of the observed error rate in the channel allowing us to compute the maximally tolerated error of our protocol. Our results show that a semi-quantum protocol may hold similar security to a fully quantum one.

Walter O. Krawec

2014-11-21T23:59:59.000Z

445

Key valves prioritization study. Final report  

SciTech Connect (OSTI)

Key valves, installed in nuclear power plants, are those valves in which a malfunction can result in a shut down, in a reduction in power generation level, or in the extension of planned outages. Over two thousand Licensee Event Reports (LERs) are evaluated to identify the valve failure events which affected nuclear plant availability. Other data reporting systems are used to supplement the information collected for each event. A data base is established comprising 102 key valve failure events that are identified as the principal case of lost plant availability.

Riddington, J.W.

1984-10-01T23:59:59.000Z

446

CHEMICAL ABBREVIATION KEY ABBREVIATION CHEMICAL NAME HAZARDS  

E-Print Network [OSTI]

Irritant destain Methanol,acetic acid,H2O Flammable, Corrosive - acid DI H2O Deionized water DCM Nitric acid Corrosive - acid KAc Potassium acetate Irritant KCl Potassium chloride Irritant K2H PO4 Corrosive - base LiCl Lithium chloride Harmful MeOH Methanol Flammable #12;CHEMICAL ABBREVIATION KEY

Pawlowski, Wojtek

447

Rangeland ecology: Key global research issues & questions  

E-Print Network [OSTI]

1 Rangeland ecology: Key global research issues & questions Robin Reid and Maria Fernandez-Gimenez This paper discusses developments in our understanding about rangeland ecology and rangeland dynamics in the last 20 years. Before the late 1980's, the mainstream view in range ecology was that livestock

448

Transportation radiological risk assessment for the programmatic environmental impact statement: An overview of methodologies, assumptions, and input parameters  

SciTech Connect (OSTI)

The U.S. Department of Energy is considering a broad range of alternatives for the future configuration of radioactive waste management at its network of facilities. Because the transportation of radioactive waste is an integral component of the management alternatives being considered, the estimated human health risks associated with both routine and accident transportation conditions must be assessed to allow a complete appraisal of the alternatives. This paper provides an overview of the technical approach being used to assess the radiological risks from the transportation of radioactive wastes. The approach presented employs the RADTRAN 4 computer code to estimate the collective population risk during routine and accident transportation conditions. Supplemental analyses are conducted using the RISKIND computer code to address areas of specific concern to individuals or population subgroups. RISKIND is used for estimating routine doses to maximally exposed individuals and for assessing the consequences of the most severe credible transportation accidents. The transportation risk assessment is designed to ensure -- through uniform and judicious selection of models, data, and assumptions -- that relative comparisons of risk among the various alternatives are meaningful. This is accomplished by uniformly applying common input parameters and assumptions to each waste type for all alternatives. The approach presented can be applied to all radioactive waste types and provides a consistent and comprehensive evaluation of transportation-related risk.

Monette, F.; Biwer, B.; LePoire, D.; Chen, S.Y.

1994-02-01T23:59:59.000Z

449

Key Facts: Solyndra Solar | Department of Energy  

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

You are here You are here Home » Key Facts: Solyndra Solar Key Facts: Solyndra Solar On September 1, 2011, Solyndra, a solar energy start-up and recipient of an Energy Department loan guarantee, declared bankruptcy. While this event is deeply disappointing, at the time the loan guarantee was issued, Solyndra was widely seen as a promising and innovative company: Solyndra was named one of the world's "50 Most Innovative Companies" in 2010 by MIT's Technology Review and included in the Wall Street Journal's "The Next Big Thing: Top 50 Venture Backed Companies." Private investors, after conducting their own careful review of Solyndra, put $1 billion of their own private capital behind the company. Solyndra reported sales growth of 40% from 2009 to 2010, from $100

450

Chemical and Petroleum Engineering Key and Lab Space Agreement  

E-Print Network [OSTI]

Chemical and Petroleum Engineering Key and Lab Space Agreement Key Holder Information Last Name and Petroleum Engineering remain the property of the Department. I agree to pay a deposit for the keys

Calgary, University of

451

Key Physical Mechanisms in Nanostructured Solar Cells  

SciTech Connect (OSTI)

The objective of the project was to study both theoretically and experimentally the excitation, recombination and transport properties required for nanostructured solar cells to deliver energy conversion efficiencies well in excess of conventional limits. These objectives were met by concentrating on three key areas, namely, investigation of physical mechanisms present in nanostructured solar cells, characterization of loss mechanisms in nanostructured solar cells and determining the properties required of nanostructured solar cells in order to achieve high efficiency and the design implications.

Dr Stephan Bremner

2010-07-21T23:59:59.000Z

452

Vehicle Electrification is Key to Reducing Petroleum Dependency...  

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

Vehicle Electrification is Key to Reducing Petroleum Dependency and Greenhouse Gas Emission Vehicle Electrification is Key to Reducing Petroleum Dependency and Greenhouse Gas...

453

Midstream Infrastructure Improvements Key to Realizing Full Potential...  

Office of Environmental Management (EM)

Midstream Infrastructure Improvements Key to Realizing Full Potential of Domestic Natural Gas Midstream Infrastructure Improvements Key to Realizing Full Potential of Domestic...

454

Key Publications - Natural Gas Regulation | Department of Energy  

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

Services Natural Gas Regulation Key Publications - Natural Gas Regulation Key Publications - Natural Gas Regulation Natural Gas Imports and Exports - Quarterly Reports July...

455

Rapid Compression Machine ? A Key Experimental Device to Effectively...  

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

Rapid Compression Machine A Key Experimental Device to Effectively Collaborate with Basic Energy Sciences Rapid Compression Machine A Key Experimental Device to Effectively...

456

Road Blocks Yield Key Information about a Catalyst | The Ames...  

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

Road Blocks Yield Key Information about a Catalyst Researchers systematically blocked key chemical reaction pathways to get unambiguous information about how carbon-nitrogen bonds...

457

Sandia National Laboratories: The Brain: Key To a Better Computer  

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

ClimateECResearch & CapabilitiesCapabilitiesThe Brain: Key To a Better Computer The Brain: Key To a Better Computer Sandian Selected for Outstanding Young Engineer Award Sandia...

458

Sensitivity of Utility-Scale Solar Deployment Projections in the SunShot Vision Study to Market and Performance Assumptions  

SciTech Connect (OSTI)

The SunShot Vision Study explored the potential growth of solar markets if solar prices decreased by about 75% from 2010 to 2020. The ReEDS model was used to simulate utility PV and CSP deployment for this present study, based on several market and performance assumptions - electricity demand, natural gas prices, coal retirements, cost and performance of non-solar renewable technologies, PV resource variability, distributed PV deployment, and solar market supply growth - in addition to the SunShot solar price projections. This study finds that utility-scale solar deployment is highly sensitive to solar prices. Other factors can have significant impacts, particularly electricity demand and natural gas prices.

Eurek, K.; Denholm, P.; Margolis, R.; Mowers, M.

2013-04-01T23:59:59.000Z

459

Tips for Key Maps / Inset Maps How Do I Add a Key Maps or Inset Maps  

E-Print Network [OSTI]

Tips for Key Maps / Inset Maps How Do I Add a Key Maps or Inset Maps You need a new data frame o the properties/look of the extent rectangle Tips Index Map o Should be a simplified version of the map o Should cover at least 5X the area of the main map o Should have its own scale/coordinates/title o Main coverage

Brownstone, Rob

460

Updated distribution and reintroduction of the Lower Keys marsh rabbit  

E-Print Network [OSTI]

, privately-owned parcels of land intersecting the area encompassed by occupied or potential Lower Keys marsh rabbit populations on Boca Chica and Saddlehill keys in 2001?2003 ................................................... 116 4....2 Undeveloped and partially-developed (parcels of land intersecting the area encompassed by occupied or potential Lower Keys marsh rabbit populations on Sugarloaf and the Saddlebunch keys in 2001...

Faulhaber, Craig Alan

2005-02-17T23:59:59.000Z

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


461

EIA - Annual Energy Outlook 2009 - chapter Tables  

Gasoline and Diesel Fuel Update (EIA)

Chapter Tables Chapter Tables Annual Energy Outlook 2009 with Projections to 2030 Chapter Tables Table 1. Estimated fuel economy for light-duty vehicles, based on proposed CAFE standards, 2010-2015 Table 2. State appliance efficiency standards and potential future actions Table 3. State renewable portfolio standards Table 4. Key analyses from "issues in Focus" in recent AEOs Table 5. Liquid fuels production in three cases, 2007 and 2030 Table 6. Assumptions used in comparing conventional and plug-in hybrid electric vehicles Table 7. Conventional vehicle and plug-in hybrid system component costs for mid-size vehicles at volume production Table 8. Technically recoverable resources of crude oil and natural gas in the Outer Continental Shelf, as of January 1, 2007

462

Key Renewable Energy Opportunities for Oklahoma Tribes  

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

TRIBAL LEADER FORUM SERIES TRIBAL LEADER FORUM SERIES KEY RENEWABLE ENERGY OPPORTUNITIES FOR OKLAHOMA TRIBES August 13, 2012 COX CONVENTION CENTER 100 West Sheridan Avenue, Oklahoma City, OK 73102 (405) 602-8500 The fifth in a series of planned U.S. DOE Office of Indian Energy-sponsored strategic energy development & investment forums, this forum is designed to give Oklahoma tribal leaders the opportunity to receive the latest updates on DOE's energy development efforts in Indian Country. The Forum will provide a venue for tribal leaders to discuss best practices in renewable energy development, including project development and finance, issues related to Oklahoma land ownership, and energy planning and energy markets. Tribal leaders will also have the opportunity to directly converse with each other by participating in a roundtable

463

Vehicle Technologies Office: Key Activities in Vehicles  

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

Activities in Vehicles Activities in Vehicles We conduct work in four key areas to develop and deploy vehicle technologies that reduce the use of petroleum while maintaining or improving performance, power, and comfort. Research and development (R&D); testing and analysis; government and community stakeholder support; and education help people access and use efficient, clean vehicles that meet their transportation needs. Researcher loads a sample mount of battery cathode materials for X-ray diffraction, an analysis tool for obtaining information on the crystallographic structure and composition of materials. Research and Development of New Technologies Develop durable and affordable advanced batteries as well as other forms of energy storage. Improve the efficiency of combustion engines.

464

Low-Power Public Key Cryptography  

SciTech Connect (OSTI)

This report presents research on public key, digital signature algorithms for cryptographic authentication in low-powered, low-computation environments. We assessed algorithms for suitability based on their signature size, and computation and storage requirements. We evaluated a variety of general purpose and special purpose computing platforms to address issues such as memory, voltage requirements, and special functionality for low-powered applications. In addition, we examined custom design platforms. We found that a custom design offers the most flexibility and can be optimized for specific algorithms. Furthermore, the entire platform can exist on a single Application Specific Integrated Circuit (ASIC) or can be integrated with commercially available components to produce the desired computing platform.

BEAVER,CHERYL L.; DRAELOS,TIMOTHY J.; HAMILTON,VICTORIA A.; SCHROEPPEL,RICHARD C.; GONZALES,RITA A.; MILLER,RUSSELL D.; THOMAS,EDWARD V.

2000-11-01T23:59:59.000Z

465

Low-Temperature Automotive Diesel Combustion | Department of...  

Office of Environmental Management (EM)

in Low Temperature Automotive Diesel Combustion Systems Mixture Formation in a Light-Duty Diesel Engine Light Duty Combustion Research: Advanced Light-Duty Combustion Experiments...

466

Safeguarding Quantum Key Distribution through Detection Randomization  

E-Print Network [OSTI]

We propose and experimentally demonstrate a scheme to render the detection apparatus of a Quantum Key Distribution system immune to the main classes of hacking attacks in which the eavesdropper explores the back-door opened by the single-photon detectors. The countermeasure is based on the creation of modes that are not deterministically accessible to the eavesdropper. We experimentally show that the use of beamsplitters and extra single-photon detectors at the receiver station passively creates randomized spatial modes that erase any knowledge the eavesdropper might have gained when using bright-light faked states. Additionally, we experimentally show a detector-scrambling approach where the random selection of the detector used for each measurement - equivalent to an active spatial mode randomization - hashes out the side-channel open by the detection efficiency mismatch-based attacks. The proposed combined countermeasure represents a practical and readily implementable solution against the main classes of quantum hacking attacks aimed on the single-photon detector so far, without intervening on the inner working of the devices.

Thiago Ferreira da Silva; Gustavo C. do Amaral; Guilherme B. Xavier; Guilherme P. Temporo; Jean Pierre von der Weid

2014-10-02T23:59:59.000Z

467

Compression station key to Texas pipeline project  

SciTech Connect (OSTI)

This was probably the largest pipeline project in the US last year, and the largest in Texas in the last decade. The new compressor station is a key element in this project. TECO, its servicing dealer, and compression packager worked closely throughout the planning and installation stages of the project. To handle the amount of gas required, TECO selected the GEMINI F604-1 compressor, a four-throw, single-stage unit with a six-inch stroke manufactured by Weatherford Enterra Compression Co. (WECC) in Corpus Christi, TX. TECO also chose WECC to package the compressors. Responsibility for ongoing support of the units will be shared among TECO, the service dealer and the packager. TECO is sending people to be trained by WECC, and because the G3600 family of engines is still relatively new, both the Caterpillar dealer and WECC sent people for advanced training at Caterpillar facilities in Peoria, IL. As part of its service commitment to TECO, the servicing dealer drew up a detailed product support plan, encompassing these five concerns: Training, tooling; parts support; service support; and commissioning.

NONE

1996-10-01T23:59:59.000Z

468

Mind your manners: socially appropriate wireless key establishment for groups  

Science Journals Connector (OSTI)

Group communication is inherently a social activity. However, existing protocols for group key establishment often fail to consider important social dynamics. This paper examines the human requirements for wireless group key establishment. We identify ...

Cynthia Kuo; Ahren Studer; Adrian Perrig

2008-03-01T23:59:59.000Z

469

High-dimensional entanglement-based quantum key distribution  

E-Print Network [OSTI]

Conventional quantum key distribution (QKD) uses a discrete two-dimensional Hilbert space for key encoding, such as the polarization state of a single photon. In contrast, high-dimensional QKD allows encoding onto a larger ...

Zhong, Tian, Ph. D. Massachusetts Institute of Technology

2013-01-01T23:59:59.000Z

470

Hybrid Key Management for Mobile Ad Hoc Networks  

Science Journals Connector (OSTI)

Many public key infrastructure (PKI) approaches have been proposed in ... networks (MANETs). We present a new hybrid key management infrastructure, which combines the concepts of PKIs for MANET with trusted-third...

David Sanchez Sanchez; Heribert Baldus

2006-01-01T23:59:59.000Z

471

SOW and Key Performance Parameters (KPP) Handbook Final Version...  

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

SOW and Key Performance Parameters (KPP) Handbook Final Version 9-30-2014 SOW and Key Performance Parameters (KPP) Handbook Final Version 9-30-2014 This handbook provides suggested...

472

Distributed Private-Key Generators for Identity-Based Cryptography  

Science Journals Connector (OSTI)

An identity-based encryption (IBE) scheme can greatly reduce the complexity of sending encrypted messages. However, an IBE scheme necessarily requires a private-key generator (PKG), which can create private keys ...

Aniket Kate; Ian Goldberg

2010-01-01T23:59:59.000Z

473

The impacts of urbanization on endangered florida key deer  

E-Print Network [OSTI]

for resources between man and wildlife continues, it is important to understand the effects of urbanization on species. Endangered Key deer (Odocoileus virginianus clavium) are endemic to the Florida Keys archipelago stretching southwest off the southern tip...

Harveson, Patricia Moody

2006-04-12T23:59:59.000Z

474

Residential Energy Efficiency Financing: Key Elements of Program Design  

Broader source: Energy.gov [DOE]

Presents key programmatic elements and context of financing initiatives, including contractor support, rebates, quality assurance, and more.

475

Evaluation of the phase randomness of the light source in quantum key distribution systems with an attenuated laser  

E-Print Network [OSTI]

The phase randomized light is one of the key assumptions in the security proof of Bennett-Brassard 1984 (BB84) quantum key distribution (QKD) protocol implemented with an attenuated laser. Though the assumption has been believed to be satisfied for conventional systems, it should be reexamined for current high speed QKD systems. The phase correlation may be induced by the overlap of the optical pulses, the interval of which decreases as the clock frequency. The phase randomness was investigated experimentally by measuring the visibility of interference. An asymmetric Mach-Zehnder interferometer was used to observe the interference between adjacent pulses from a gain-switched distributed feedback laser diode driven at 10 GHz. Low visibility was observed when the minimum drive current was set far below the threshold, while the interference emerged when the minimum drive current was close to the threshold. Theoretical evaluation on the impact of the imperfect phase randomization provides target values for the visibility to guarantee the phase randomness. The experimental and theoretical results show that secure implementation of decoy BB84 protocol is achievable even for the 10-GHz clock frequency, by using the laser diode under proper operating conditions.

Toshiya Kobayashi; Akihisa Tomita; Atsushi Okamoto

2014-07-07T23:59:59.000Z

476

Type-Based Analysis of Generic Key Management APIs  

E-Print Network [OSTI]

Type-Based Analysis of Generic Key Management APIs Pedro Ad~ao1,2 , Riccardo Focardi3, Universit`a Ca' Foscari, Venezia, Italy Abstract In the past few years, cryptographic key management APIs. In fact, real APIs provide mechanisms to declare the intended use of keys but they are not strong enough

477

President Obama Announces More Key Administration Posts | Department of  

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

President Obama Announces More Key Administration Posts President Obama Announces More Key Administration Posts President Obama Announces More Key Administration Posts November 29, 2011 - 4:34pm Addthis THE WHITE HOUSE Office of the Press Secretary FOR IMMEDIATE RELEASENovember 29, 2011 President Obama Announces More Key Administration Posts WASHINGTON, DC - Today, President Barack Obama announced his intent to nominate the following individuals to key Administration posts: Frederick "Rick" Barton - Assistant Secretary for Conflict and Stabilization Operations and Coordinator for Reconstruction and Stabilization, Department of State Arun Majumdar - Under Secretary of Energy, Department of Energy Marie F. Smith - Member, Social Security Advisory Board The President also announced his intent to appoint the following

478

Secret key distillation from shielded two-qubit states  

E-Print Network [OSTI]

The quantum states corresponding to a secret key are characterized using the so-called private states, where the key part consisting of a secret key is shielded by the additional systems. Based on the construction, it was shown that a secret key can be distilled from bound entangled states. In this work, I consider the shielded two-qubit states in a key-distillation scenario and derive the conditions under which a secret key can be distilled using the recurrence protocol or the two-way classical distillation, advantage distillation together with one-way postprocessing. From the security conditions, it is shown that a secret key can be distilled from bound entangled states in a much wider range. In addition, I consider the case that in which white noise is added to quantum states and show that the classical distillation protocol still works despite a certain amount of noise although the recurrence protocol does not.

Joonwoo Bae

2008-03-03T23:59:59.000Z

479

Secret key distillation from shielded two-qubit states  

SciTech Connect (OSTI)

The quantum states corresponding to a secret key are characterized using the so-called private states, where the key part consisting of a secret key is shielded by the additional systems. Based on the construction, it was shown that a secret key can be distilled from bound entangled states. In this work, I consider the shielded two-qubit states in a key-distillation scenario and derive the conditions under which a secret key can be distilled using the recurrence protocol or the two-way classical distillation, advantage distillation together with one-way postprocessing. From the security conditions, it is shown that a secret key can be distilled from bound entangled states in a much wider range. In addition, I consider the case that in which white noise is added to quantum states and show that the classical distillation protocol still works despite a certain amount of noise although the recurrence protocol does not.

Bae, Joonwoo [School of Computational Sciences, Korea Institute for Advanced Study, Seoul 130-722 (Korea, Republic of)

2010-05-15T23:59:59.000Z

480

EIA Data: 2011 United States Residential Sector Key Indicators and  

Open Energy Info (EERE)

Residential Sector Key Indicators and Residential Sector Key Indicators and Consumption Dataset Summary Description This dataset is the 2011 United States Residential Sector Key Indicators and Consumption, part of the Annual Energy Outlook that highlights changes in the AEO Reference case projections for key energy topics. Source EIA Date Released December 16th, 2010 (4 years ago) Date Updated Unknown Keywords consumption EIA energy residential sector key indicators Data application/vnd.ms-excel icon Residential Sector Key Indicators and Consumption (xls, 62.5 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment http://www.eia.gov/abouteia/copyrights_reuse.cfm

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


481

President Obama Announces More Key Administration Posts | Department of  

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

President Obama Announces More Key Administration Posts President Obama Announces More Key Administration Posts President Obama Announces More Key Administration Posts May 28, 2009 - 12:00am Addthis WASHINGTON, DC - Today, President Barack Obama announced his intent to nominate the following individuals for key administration posts: Gordon Heddell, Inspector General, Department of Defense; Ellen Murray, Assistant Secretary for Resources and Technology, Department of Health and Human Services; Polly Trottenberg, Assistant Secretary for Transportation Policy, Department of Transportation; and James J. Markowsky, Assistant Secretary for Fossil Energy, Department of Energy. President Obama said, "Each of these individuals brings extensive expertise in their chosen fields, and they are joining my administration at a time

482

President Obama Announces More Key Administration Posts | Department of  

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

President Obama Announces More Key Administration Posts President Obama Announces More Key Administration Posts President Obama Announces More Key Administration Posts April 17, 2009 - 12:00am Addthis WASHINGTON, DC - Today, President Barack Obama announced his intent to nominate the following individuals for key administration posts: Christine M. Griffin, Deputy Director of Office of Personnel Management; Kevin Concannon, Under Secretary for Food, Nutrition and Consumer Services, United States Department of Agriculture; Rajiv Shah, Under Secretary for Research, Education, and Economics, United States Department of Agriculture; Michael Nacht, Assistant Secretary of Defense (Global Strategic Affairs), Department of Defense; Mercedes Márquez, Assistant Secretary for Community Planning and Development, Department of Housing and

483

Florida Keys Electric Cooperative - Residential Rebate Program | Department  

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

Florida Keys Electric Cooperative - Residential Rebate Program Florida Keys Electric Cooperative - Residential Rebate Program Florida Keys Electric Cooperative - Residential Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Insulation Design & Remodeling Windows, Doors, & Skylights Program Info State Florida Program Type Utility Rebate Program Rebate Amount Rebates $25 - $500, max $1000 per member Florida Keys Electric Cooperative offers residential members rebates for installing energy efficient measures. To qualify for rebates, members must first call FKEC and make an appointment for a free home energy audit. An FKEC trained auditor will assess the home and make recommendations for

484

Vehicle Technologies Office: Key Activities in Vehicles | Department...  

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

in four key areas to develop and deploy vehicle technologies that reduce the use of petroleum while maintaining or improving performance, power, and comfort. Research and...

485

PPPL scientists take key step toward solving a major astrophysical...  

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

Primary tabs View(active tab) High Resolution Press Releases PPPL scientists take key step toward solving a major astrophysical mystery By John Greenwald September 10, 2014 Tweet...

486

PPPL scientists take key step toward solving a major astrophysical...  

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

Primary tabs View(active tab) High Resolution News PPPL scientists take key step toward solving a major astrophysical mystery By John Greenwald September 10, 2014 Tweet Widget...

487

Preventing Quantum Hacking in Continuous Variable Quantum Key Distribution  

Science Journals Connector (OSTI)

Security loopholes have been shown for discrete-variable Quantum Key Distribution (QKD). Here, we propose and provide experimental evidence of an attack targeting a continuous-variable...

Jouguet, Paul; Diamanti, Eleni; Kunz-Jacques, Sbastien

488

Researchers find potential key for unlocking biomass energy  

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

Unlocking biomass energy Researchers find potential key for unlocking biomass energy Potential pretreatment method that can make plant cellulose five times more digestible by...

489

Key Practical Issues in Strengthening Safety Culture, INSAG-15...  

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

A Report by the International Nuclear Safety Advisory Group, International Atomic Energy Agency, Vienna, 2002. Key Practical Issues in Strengthening Safety Culture, INSAG-15,...

490

LANL breaks ground on key sediment control project  

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

Sediment control project LANL breaks ground on key sediment control project Called "grade-control" structures, the approximately 2 million features are up to eight feet high and...

491

Sandia completes major overhaul of key nuclear weapons test facilities...  

National Nuclear Security Administration (NNSA)

completes major overhaul of key nuclear weapons test facilities | National Nuclear Security Administration People Mission Managing the Stockpile Preventing Proliferation Powering...

492

Key Facts about the Biosciences Division | Argonne National Laboratory  

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

to understand biological mechanisms relevant to bioremediation, climate change, energy production, and the protection of human health. BiosciencesDivisionKeyFactsOct2014...

493

Keys to Successful Feedback - John Settle PowerPoint Presentation...  

Office of Environmental Management (EM)

Transportation of Radioactive Materials Keys to Successful Feedback - John Settle PowerPoint Presentation Leadership Development Readings May 14, 2014 - "Your Brain on Conflict"...

494

Water dynamics clue to key residues in protein folding  

SciTech Connect (OSTI)

A computational method independent of experimental protein structure information is proposed to recognize key residues in protein folding, from the study of hydration water dynamics. Based on all-atom molecular dynamics simulation, two key residues are recognized with distinct water dynamical behavior in a folding process of the Trp-cage protein. The identified key residues are shown to play an essential role in both 3D structure and hydrophobic-induced collapse. With observations on hydration water dynamics around key residues, a dynamical pathway of folding can be interpreted.

Gao, Meng [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China)] [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China); Zhu, Huaiqiu, E-mail: hqzhu@pku.edu.cn [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China)] [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China); Yao, Xin-Qiu [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China) [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China); Department of Biophysics, Kyoto University, Sakyo Kyoto 606-8502 (Japan); She, Zhen-Su, E-mail: she@pku.edu.cn [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China)] [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China)

2010-01-29T23:59:59.000Z

495

Hydrodynamic experiment provides key data for Stockpile Stewardship  

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

predictively model and assess weapon performance in the absence of full-scale underground nuclear testing," said Webster. Los Alamos hydrodynamic experiment provides key data for...

496

Livermore highlights key accomplishments in annual report | National...  

National Nuclear Security Administration (NNSA)

highlights key accomplishments in annual report | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing...

497

7-117 The claim of a heat pump designer regarding the COP of the heat pump is to be evaluated. Assumptions The heat pump operates steadily.  

E-Print Network [OSTI]

7-47 7-117 The claim of a heat pump designer regarding the COP of the heat pump is to be evaluated. Assumptions The heat pump operates steadily. HP Wnet,in QH QL TL TH Analysis The maximum heat pump coefficient of performance would occur if the heat pump were completely reversible, 5.7 K026K300 K300 COP maxHP, LH H TT

Bahrami, Majid

498

Review of technical justification of assumptions and methods used by the Environmental Protection Agency for estimating risks avoided by implementing MCLs for radionuclides  

SciTech Connect (OSTI)

The Environmental Protection Agency (EPA) has proposed regulations for allowable levels of radioactive material in drinking water (40 CFR Part 141, 56 FR 33050, July 18, 1991). This review examined the assumptions and methods used by EPA in calculating risks that would be avoided by implementing the proposed Maximum Contaminant Levels for uranium, radium, and radon. Proposed limits on gross alpha and beta-gamma emitters were not included in this review.

Morris, S.C.; Rowe, M.D.; Holtzman, S.; Meinhold, A.F.

1992-11-01T23:59:59.000Z

499

Secure password-based authenticated key exchange for web services  

Science Journals Connector (OSTI)

This paper discusses an implementation of an authenticated key-exchange method rendered on message primitives defined in the WS-Trust and WS-SecureConversation specifications. This IEEE-specified cryptographic method (AuthA) is proven-secure for password-based ... Keywords: authenticated key exchange, password, security, web services

Liang Fang; Samuel Meder; Olivier Chevassut; Frank Siebenlist

2004-10-01T23:59:59.000Z

500

Prairie Fruit Summary, 2010 Some key considerations for the homeowner  

E-Print Network [OSTI]

1 Prairie Fruit Summary, 2010 Some key considerations for the homeowner by Bob Bors The following list highlights some key positive (+), negative (-) and variable ( ± ) attributes for growing fruit into account. For more info visit: www.fruit.usask.ca Haskap/Blue Honeysuckle: - All varieties are very cold

Peak, Derek