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1

Overview of Light-Duty Vehicle Studies  

NLE Websites -- All DOE Office Websites (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

2

Light Duty Vehicle Pathways  

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

in 2030 0 5 10 15 20 25 30 Million BarrelsDay IMPORTS DOMESTIC OIL SUPPLY OIL DEMAND ELECTRICITY RES. & COM. INDUSTRY MISC. TRANSPORT AIR TRUCKS LIGHT DUTY VEHICLES ETHANOL...

3

Light Duty Efficient, Clean Combustion  

SciTech Connect

Cummins has successfully completed the Light Duty Efficient Clean Combustion (LDECC) cooperative program with DoE. This program was established in 2007 in support of the Department of Energy's Vehicles Technologies Advanced Combustion and Emissions Control initiative to remove critical barriers to the commercialization of advanced, high efficiency, emissions compliant internal combustion (IC) engines for light duty vehicles. Work in this area expanded the fundamental knowledge of engine combustion to new regimes and advanced the knowledge of fuel requirements for these diesel engines to realize their full potential. All of the following objectives were met with fuel efficiency improvement targets exceeded: (1) Improve light duty vehicle (5000 lb. test weight) fuel efficiency by 10.5% over today's state-of-the-art diesel engine on the FTP city drive cycle; (2) Develop and design an advanced combustion system plus aftertreatment system that synergistically meets Tier 2 Bin 5 NOx and PM emissions standards while demonstrating the efficiency improvements; (3) Maintain power density comparable to that of current conventional engines for the applicable vehicle class; and (4) Evaluate different fuel components and ensure combustion system compatibility with commercially available biofuels. Key accomplishments include: (1) A 25% improvement in fuel efficiency was achieved with the advanced LDECC engine equipped with a novel SCR aftertreatment system compared to the 10.5% target; (2) An 11% improvement in fuel efficiency was achieved with the advanced LDECC engine and no NOx aftertreamtent system; (3) Tier 2 Bin 5 and SFTP II emissions regulations were met with the advanced LDECC engine equipped with a novel SCR aftertreatment system; (4) Tier 2 Bin 5 emissions regulations were met with the advanced LDECC engine and no NOx aftertreatment, but SFTP II emissions regulations were not met for the US06 test cycle - Additional technical barriers exist for the no NOx aftertreatment engine; (5) Emissions and efficiency targets were reached with the use of biodiesel. A variety of biofuel feedstocks (soy, rapeseed, etc.) was investigated; (6) The advanced LDECC engine with low temperature combustion was compatible with commercially available biofuels as evaluated by engine performance testing and not durability testing; (7) The advanced LDECC engine equipped with a novel SCR aftertreatment system is the engine system architecture that is being further developed by the Cummins product development organization. Cost reduction and system robustness activities have been identified for future deployment; (8) The new engine and aftertreatment component technologies are being developed by the Cummins Component Business units (e.g. fuel system, turbomachinery, aftertreatment, electronics, etc.) to ensure commercial viability and deployment; (9) Cummins has demonstrated that the technologies developed for this program are scalable across the complete light duty engine product offerings (2.8L to 6.7L engines); and (10) Key subsystems developed include - sequential two stage turbo, combustions system for low temperature combustion, novel SCR aftertreatment system with feedback control, and high pressure common rail fuel system. An important element of the success of this project was leveraging Cummins engine component technologies. Innovation in component technology coupled with system integration is enabling Cummins to move forward with the development of high efficiency clean diesel products with a long term goal of reaching a 40% improvement in thermal efficiency for the engine plus aftertreatment system. The 40% improvement is in-line with the current light duty vehicle efficiency targets set by the 2010 DoE Vehicle Technologies MYPP and supported through co-operative projects such as the Cummins Advanced Technology Powertrains for Light-Duty Vehicles (ATP-LD) started in 2010.

Donald Stanton

2010-12-31T23:59:59.000Z

4

Light Duty Efficient, Clean Combustion  

DOE Green Energy (OSTI)

Cummins has successfully completed the Light Duty Efficient Clean Combustion (LDECC) cooperative program with DoE. This program was established in 2007 in support of the Department of Energy's Vehicles Technologies Advanced Combustion and Emissions Control initiative to remove critical barriers to the commercialization of advanced, high efficiency, emissions compliant internal combustion (IC) engines for light duty vehicles. Work in this area expanded the fundamental knowledge of engine combustion to new regimes and advanced the knowledge of fuel requirements for these diesel engines to realize their full potential. All of the following objectives were met with fuel efficiency improvement targets exceeded: (1) Improve light duty vehicle (5000 lb. test weight) fuel efficiency by 10.5% over today's state-of-the-art diesel engine on the FTP city drive cycle; (2) Develop and design an advanced combustion system plus aftertreatment system that synergistically meets Tier 2 Bin 5 NOx and PM emissions standards while demonstrating the efficiency improvements; (3) Maintain power density comparable to that of current conventional engines for the applicable vehicle class; and (4) Evaluate different fuel components and ensure combustion system compatibility with commercially available biofuels. Key accomplishments include: (1) A 25% improvement in fuel efficiency was achieved with the advanced LDECC engine equipped with a novel SCR aftertreatment system compared to the 10.5% target; (2) An 11% improvement in fuel efficiency was achieved with the advanced LDECC engine and no NOx aftertreamtent system; (3) Tier 2 Bin 5 and SFTP II emissions regulations were met with the advanced LDECC engine equipped with a novel SCR aftertreatment system; (4) Tier 2 Bin 5 emissions regulations were met with the advanced LDECC engine and no NOx aftertreatment, but SFTP II emissions regulations were not met for the US06 test cycle - Additional technical barriers exist for the no NOx aftertreatment engine; (5) Emissions and efficiency targets were reached with the use of biodiesel. A variety of biofuel feedstocks (soy, rapeseed, etc.) was investigated; (6) The advanced LDECC engine with low temperature combustion was compatible with commercially available biofuels as evaluated by engine performance testing and not durability testing; (7) The advanced LDECC engine equipped with a novel SCR aftertreatment system is the engine system architecture that is being further developed by the Cummins product development organization. Cost reduction and system robustness activities have been identified for future deployment; (8) The new engine and aftertreatment component technologies are being developed by the Cummins Component Business units (e.g. fuel system, turbomachinery, aftertreatment, electronics, etc.) to ensure commercial viability and deployment; (9) Cummins has demonstrated that the technologies developed for this program are scalable across the complete light duty engine product offerings (2.8L to 6.7L engines); and (10) Key subsystems developed include - sequential two stage turbo, combustions system for low temperature combustion, novel SCR aftertreatment system with feedback control, and high pressure common rail fuel system. An important element of the success of this project was leveraging Cummins engine component technologies. Innovation in component technology coupled with system integration is enabling Cummins to move forward with the development of high efficiency clean diesel products with a long term goal of reaching a 40% improvement in thermal efficiency for the engine plus aftertreatment system. The 40% improvement is in-line with the current light duty vehicle efficiency targets set by the 2010 DoE Vehicle Technologies MYPP and supported through co-operative projects such as the Cummins Advanced Technology Powertrains for Light-Duty Vehicles (ATP-LD) started in 2010.

Donald Stanton

2010-12-31T23:59:59.000Z

5

Light Duty Efficient, Clean Combustion  

SciTech Connect

Cummins has successfully completed the Light Duty Efficient Clean Combustion (LDECC) cooperative program with DoE. This program was established in 2007 in support of the Department of Energy’s Vehicles Technologies Advanced Combustion and Emissions Control initiative to remove critical barriers to the commercialization of advanced, high efficiency, emissions compliant internal combustion (IC) engines for light duty vehicles. Work in this area expanded the fundamental knowledge of engine combustion to new regimes and advanced the knowledge of fuel requirements for these diesel engines to realize their full potential. All of the following objectives were met with fuel efficiency improvement targets exceeded: 1. Improve light duty vehicle (5000 lb. test weight) fuel efficiency by 10.5% over today’s state-ofthe- art diesel engine on the FTP city drive cycle 2. Develop & design an advanced combustion system plus aftertreatment system that synergistically meets Tier 2 Bin 5 NOx and PM emissions standards while demonstrating the efficiency improvements. 3. Maintain power density comparable to that of current conventional engines for the applicable vehicle class. 4. Evaluate different fuel components and ensure combustion system compatibility with commercially available biofuels. Key accomplishments include: ? A 25% improvement in fuel efficiency was achieved with the advanced LDECC engine equipped with a novel SCR aftertreatment system compared to the 10.5% target ? An 11% improvement in fuel efficiency was achieved with the advanced LDECC engine and no NOx aftertreamtent system ? Tier 2 Bin 5 and SFTP II emissions regulations were met with the advanced LDECC engine equipped with a novel SCR aftertreatment system ? Tier 2 Bin 5 emissions regulations were met with the advanced LDECC engine and no NOx aftertreatment, but SFTP II emissions regulations were not met for the US06 test cycle – Additional technical barriers exist for the no NOx aftertreatment engine ? Emissions and efficiency targets were reached with the use of biodiesel. A variety of biofuel feedstocks (soy, rapeseed, etc.) was investigated. ? The advanced LDECC engine with low temperature combustion was compatible with commercially available biofuels as evaluated by engine performance testing and not durability testing. ? The advanced LDECC engine equipped with a novel SCR aftertreatment system is the engine system architecture that is being further developed by the Cummins product development organization. Cost reduction and system robustness activities have been identified for future deployment. ? The new engine and aftertreatment component technologies are being developed by the Cummins Component Business units (e.g. fuel system, turbomachinery, aftertreatment, electronics, etc.) to ensure commercial viability and deployment ? Cummins has demonstrated that the technologies developed for this program are scalable across the complete light duty engine product offerings (2.8L to 6.7L engines) ? Key subsystems developed include – sequential two stage turbo, combustions system for low temperature combustion, novel SCR aftertreatment system with feedback control, and high pressure common rail fuel system An important element of the success of this project was leveraging Cummins engine component technologies. Innovation in component technology coupled with system integration is enabling Cummins to move forward with the development of high efficiency clean diesel products with a long term goal of reaching a 40% improvement in thermal efficiency for the engine plus aftertreatment system. The 40% improvement is in-line with the current light duty vehicle efficiency targets set by the 2010 DoE Vehicle Technologies MYPP and supported through co-operative projects such as the Cummins Advanced Technology Powertrains for Light- Duty Vehicles (ATP-LD) started in 2010.

Stanton, Donald W

2011-06-03T23:59:59.000Z

6

light-duty | OpenEI  

Open Energy Info (EERE)

Login | Sign Up Wiki Apps Datasets Browse Upload data GDR Community Linked Data Search Share this page on Facebook icon Twitter icon light-duty Dataset Summary Description...

7

Light Duty Truck Aftertreatment - Experience and Challenges  

DOE Green Energy (OSTI)

Detroit Diesel's test experience on light duty truck PM aftertreatment technology development will be presented. The Tier-II extremely low emissions standards combined with the light-duty test cycle impose a significant challenge for the development of production-viable emissions technologies. A robust general path to achieve these emissions targets will be outlined.

Redon, Fabien

2000-08-20T23:59:59.000Z

8

Fuel Cell Technologies Office: DOE Light Duty Vehicle Workshop  

NLE Websites -- All DOE Office Websites (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

9

Table 37. Light-Duty Vehicle Energy Consumption by Technology ...  

U.S. Energy Information Administration (EIA)

Table 37. Light-Duty Vehicle Energy Consumption by Technology Type and Fuel Type (trillion Btu) Light-Duty Consumption by Technology Type Conventional Vehicles 1/

10

alternative fuel light-duty vehicles  

Alternative Fuels and Advanced Vehicles Data Center (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

11

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (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

12

Advanced Vehicle Testing Activity: Light-Duty Vehicles  

NLE Websites -- All DOE Office Websites (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

13

Light duty utility arm startup plan  

SciTech Connect

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

14

ORNL light-duty vehicles PC system  

Science Conference Proceedings (OSTI)

This data system, designed by the Oak Ridge National Laboratory (ORNL) and funded by the US Department of Energy (DOE), monitors information on every light-duty vehicle (automobiles and light-duty trucks) sold in the United States since model year 1976. The data are specified in two days. One way is on a model basis (i.e, engine and transmission combinations) and includes data on city, highway, and combined fuel economies; engine size; drive-train; fuel type (gasoline or diesel); interior volume; body type; and other vehicle attributes. The other way is on a make basis (e.g., Ford Escort, Oldsmobile 98) and includes data on sales; Environmental Protection Agency (EPA) size class; the sales-weighted fuel economy; sales-weighted interior volume; sales-weighted engine displacement (cid); curb weight; and other attributes. A unique identification number is assigned to a specific vehicle category. This identification number contains information on the manufacturer, the location of the manufacturer (domestic or import), and the sponsorship of the vehicle (domestic or import). Fuel economies, model year sales and various vehicle characteristics for every make of the 164 million light-duty vehicles sold in the US since model year 1976 can be obtained from this data system. 2 figs., 4 tabs.

Hu, P.S.; Patterson, P.D. (Oak Ridge National Lab., TN (USA))

1989-01-01T23:59:59.000Z

15

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

Reports and Publications (EIA)

A fundamental concern in projecting the future attributes of light-duty vehiclespassenger 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 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.

Information Center

2006-02-01T23:59:59.000Z

16

American Recovery and Reinvestment Act (ARRA) - Light-Duty Electric...  

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

American Recovery and Reinvestment Act (ARRA) Light-Duty Electric Drive Vehicle and Charging Infrastructure Testing What's New Chevrolet Volt Vehicle Demonstration: Project to...

17

American Recovery and Reinvestment Act (ARRA) - Light-Duty Electric...  

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

American Recovery and Reinvestment Act (ARRA) Light-Duty Electric Drive Vehicle and Charging Infrastructure Testing What's New EV Project Overview Report: Project to date...

18

The Road Ahead for Light Duty Vehicle Fuel Demand  

U.S. Energy Information Administration (EIA)

The Road Ahead for Light Duty Vehicle Fuel Demand Joanne Shore Energy Information Administration July 7, 2005 Refining Capacity Surplus Shrank As Demand Grew ...

19

Fuel Cell Technologies Office: DOE Light Duty Vehicle Workshop  

NLE Websites -- All DOE Office Websites (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

20

NGV and FCV Light Duty Transportation Perspective  

NLE Websites -- All DOE Office Websites (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

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

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

22

Hybrid options for light-duty vehicles.  

DOE Green Energy (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

23

Light duty utility arm walkdown report  

Science Conference Proceedings (OSTI)

This document is a report of the Light Duty Utility Arm (LDUA) drawing walkdown. The purpose of this walkdown was to validate the essential configuration of the LDUA in preparation of deploying the equipment in a Hanford waste tank. The LDUA system has, over the course of its development, caused the generation of a considerable number of design drawings. The number of drawings is estimated to be well over 1,000. A large number consist of vendor type drawings, furnished by both Pacific Northwest National Laboratory (PNNL) and SPAR Aerospace Limited (SPAR). A smaller number, approximately 200, are H-6 type drawing sheets in the Project Hanford Management Contract (PHMC) document control system. A preliminary inspection of the drawings showed that the physical configuration of the LDUA did not match the documented configuration. As a result of these findings, a scoping walkdown of 20 critical drawing sheets was performed to determine if a problem existed in configuration management of the LDUA system. The results of this activity showed that 18 of the 20 drawing sheets were found to contain errors or omissions of varying concern. Given this, Characterization Engineering determined that a walkdown of the drawings necessary and sufficient to enable safe operation and maintenance of the LDUA should be performed. A review team was assembled to perform a review of all of the drawings and determine the set which would need to be verified through an engineering walkdown. The team determined that approximately 150 H-6 type drawing sheets would need to be verified, 12 SPAR/PNNL drawing sheets would need to be verified and converted to H-6 drawings, and three to six new drawings would be created (see Appendix A). This report documents the results of that walkdown.

Smalley, J.L.

1998-09-25T23:59:59.000Z

24

The Road Ahead for Light Duty Vehicle Fuel Demand  

Gasoline and Diesel Fuel Update (EIA)

Energy Information Administration Logo. If you need assistance viewing this page, please call (202) 586-8800 The Road Ahead for Light Duty Vehicle Fuel Demand Click here to start...

25

DOE Hydrogen Analysis Repository: Biofuels in Light-Duty Vehicles  

NLE Websites -- All DOE Office Websites (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.

26

Light Duty Fuel Cell Electric Vehicle Hydrogen Fueling Protocol  

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

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,...

27

Light-Duty Vehicle Energy Consumption by Technology Type from...  

Open Energy Info (EERE)

Light-Duty Vehicle Energy Consumption by Technology Type from EIA AEO 2011 Early Release Supplemental Table 47 of EIA AEO 2011 Early Release
2011-02-23T15:57:46Z...

28

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

SciTech Connect

This document provides key definitions, plant capabilities, and inputs and assumptions related to the Next Generation Nuclear Plant to be used in ongoing efforts related to the licensing and deployment of a high temperature gas-cooled reactor. These definitions, capabilities, and assumptions were extracted from a number of NGNP Project sources such as licensing related white papers, previously issued requirement documents, and preapplication interactions with the Nuclear Regulatory Commission (NRC).

Wayne Moe

2013-05-01T23:59:59.000Z

29

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.

30

Light-duty diesel engine development status and engine needs  

DOE Green Energy (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

31

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

32

Road Ahead for Light Duty Vehicle Fuel Demand, The  

Reports and Publications (EIA)

Explores some potential variations in light-duty vehicle demand to illustrate both the magnitude of demand changes and the length of time that it can take to affect demand when different levels of new-vehicle efficiencies and penetrations are assumed

Information Center

2005-07-11T23:59:59.000Z

33

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

SciTech Connect

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

34

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

Alternative Fuels and Advanced Vehicles Data Center (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

35

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

Alternative Fuels and Advanced Vehicles Data Center (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

36

Science with the Square Kilometer Array: Motivation, Key Science Projects, Standards and Assumptions  

E-Print Network (OSTI)

The Square Kilometer Array (SKA) represents the next major, and natural, step in radio astronomical facilities, providing two orders of magnitude increase in collecting area over existing telescopes. In a series of meetings, starting in Groningen, the Netherlands (August 2002) and culminating in a `science retreat' in Leiden (November 2003), the SKA International Science Advisory Committee (ISAC), conceived of, and carried-out, a complete revision of the SKA science case (to appear in New Astronomy Reviews). This preface includes: (i) general introductory material, (ii) summaries of the key science programs, and (iii) a detailed listing of standards and assumptions used in the revised science case.

C. Carilli; S. Rawlings

2004-09-12T23:59:59.000Z

37

DOE/VTP Light-Duty Diesel Engine Commercialization  

NLE Websites -- All DOE Office Websites (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

38

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

Alternative Fuels and Advanced Vehicles Data Center (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...

39

TTRDC - Light Duty E-Drive Vehicles Monthly Sales Updates  

NLE Websites -- All DOE Office Websites (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..

40

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

DOE Green Energy (OSTI)

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

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

2006-05-01T23:59:59.000Z

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

Can U.S. Supply Accommodate Shifts to Diesel-Fueled Light-Duty ...  

U.S. Energy Information Administration (EIA)

Can U.S. Supply Accommodate Shifts to Diesel-Fueled Light-Duty Vehicles? ... the automobile manufacturers probably face the largest diesel-vehicle challenges in the ...

42

Light-Duty Vehicle Energy Consumption by Fuel Type from EIA AEO...  

Open Energy Info (EERE)

Linked Data Search Share this page on Facebook icon Twitter icon Light-Duty Vehicle Energy Consumption by Fuel Type from EIA AEO 2011 Early Release Dataset Summary...

43

Fuel savings and emissions reductions from light duty fuel cell vehicles  

DOE Green Energy (OSTI)

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

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

1994-04-01T23:59:59.000Z

44

Preliminary Review of Models, Assumptions, and Key Data used in Performance Assessments and Composite Analysis at the Idaho National Laboratory  

SciTech Connect

This document is in response to a request by Ming Zhu, DOE-EM to provide a preliminary review of existing models and data used in completed or soon to be completed Performance Assessments and Composite Analyses (PA/CA) documents, to identify codes, methodologies, main assumptions, and key data sets used.

Arthur S. Rood; Swen O. Magnuson

2009-07-01T23:59:59.000Z

45

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

Science Conference Proceedings (OSTI)

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

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

1997-12-01T23:59:59.000Z

46

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

NLE Websites -- All DOE Office Websites (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

47

Figure 71. Average fuel economy of new light-duty vehicles, 1980 ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 71. Average fuel economy of new light-duty vehicles, 1980-2040 (miles per gallon, CAFE compliance values) History Reference case

48

Increasing the Fuel Economy and Safety of New Light-Duty Vehicles  

E-Print Network (OSTI)

Automotive Technology and Fuel Economy Trends: 1975 Through2004. “The effect of fuel economy on automobile safety: aM. , 2002. “Near-term fuel economy potential for light-duty

Wenzel, Tom; Ross, Marc

2006-01-01T23:59:59.000Z

49

Can U.S. Supply Accommodate Shifts to Diesel-Fueled Light-Duty Vehicles?  

Reports and Publications (EIA)

The presentation explores if diesel-fueled light-duty vehicle growth in the U.S. might be large enough to create refinery constraints that would hinder that growth.

Information Center

2005-10-12T23:59:59.000Z

50

Can U.S. Supply Accommodate Shifts to Diesel-Fueled Light-Duty ...  

U.S. Energy Information Administration (EIA)

The presentation explores if diesel-fueled light-duty vehicle growth in the U.S. might be large enough to create refinery constraints that would hinder that growth.

51

Diesel Exhaust Emissions Control for Light-Duty Vehicles  

SciTech Connect

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

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

2003-03-01T23:59:59.000Z

52

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

E-Print Network (OSTI)

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

Rubin, Jonathan D.; Kling, Catherine

1993-01-01T23:59:59.000Z

53

Fuel Economy of the Light-Duty Vehicle Fleet (released in AEO2005)  

Reports and Publications (EIA)

The U.S. fleet of light-duty vehicles consists of cars and light trucks, including minivans, sport utility vehicles (SUVs) and trucks with gross vehicle weight less than 8,500 pounds. The fuel economy of light-duty vehicles is regulated by the CAFE standards set by NHTSA. Currently, the CAFE standard is 27.5 miles per gallon (mpg) for cars and 20.7 mpg for light trucks. The most recent increase in the CAFE standard for cars was in 1990, and the most recent increase in the CAFE standard for light trucks was in 1996.

Information Center

2005-02-01T23:59:59.000Z

54

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

Reports and Publications (EIA)

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

Information Center

2006-02-01T23:59:59.000Z

55

Procedures for Passenger Cars, Light-Duty Trucks and Medium-Duty  

E-Print Network (OSTI)

2001 and subsequent model-year passenger cars, light-duty trucks, and medium-duty trucks for which non-methane organic gas (NMOG) exhaust emission reduction credit is requested as a result of the use of a DOR technology on a motor vehicle radiator, air conditioning assembly, or other appropriate substrate. REFERENCES:

unknown authors

1999-01-01T23:59:59.000Z

56

Figure 73. Sales of light-duty vehicles using non-gasoline ...  

U.S. Energy Information Administration (EIA)

Sales of light-duty vehicles using non-gasoline technologies by type, 2011, 2025, ... Hybrid electric Flex-fuel Micro Total 2011.00 0.06 5.38E-03 0.54 0.25 1.61 0.01 2.49

57

Technical System Targets: Onboard Hydrogen Storage for Light-Duty Fuel Cell Vehicles  

E-Print Network (OSTI)

is to be determined. e Onboard efficiency is the energy efficiency for delivering hydrogen from the storage systemTechnical System Targets: Onboard Hydrogen Storage for Light-Duty Fuel Cell Vehicles a Storage to the powerplant divided by the total mass/volume of the complete storage system, including all stored hydrogen

58

Light-Duty Vehicle Energy Consumption by Fuel Type from EIA AEO...  

Open Energy Info (EERE)

Light-Duty Vehicle Energy Consumption by Fuel Type from EIA AEO 2011 Early Release Supplemental Table 47 of EIA AEO 2011 Early Release
2011-02-23T16:04:28Z 2011-03-31T19:33:44Z...

59

Electric Energy and Power Consumption by Light-Duty Plug-in Electric Vehicles  

E-Print Network (OSTI)

.S. roads alone by 2015. PEVs-- either plug-in hybrid electric vehicles (PHEVs) or pure electric vehicles (EVs)--adopt similar drivetrain configurations as hybrid electric vehicles (HEVs) [21 Electric Energy and Power Consumption by Light-Duty Plug-in Electric Vehicles Di Wu, Student

Tesfatsion, Leigh

60

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

DOE Green Energy (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

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

Assessment of Fuel Economy Technologies for Light-Duty Vehicles  

SciTech Connect

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

62

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

Science Conference Proceedings (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

63

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

NLE Websites -- All DOE Office Websites (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

64

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

Reports and Publications (EIA)

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

Information Center

2005-02-01T23:59:59.000Z

65

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

DOE Green Energy (OSTI)

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

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

1999-12-13T23:59:59.000Z

66

Reduced energy consumption by massive thermoelectric waste heat recovery in light duty trucks  

Science Conference Proceedings (OSTI)

The main objective of the EC funded HEATRECAR project is to reduce the energy consumption and curb CO2 emissions of vehicles by massively harvesting electrical energy from the exhaust system and re-use this energy to supply electrical components within the vehicle or to feed the power train of hybrid electrical vehicles. HEATRECAR is targeting light duty trucks and focuses on the development and the optimization of a Thermo Electric Generator (TEG) including heat exchanger

D. Magnetto; G. Vidiella

2012-01-01T23:59:59.000Z

67

Assessing deployment strategies for ethanol and flex fuel vehicles in the U.S. light-duty vehicle fleet  

E-Print Network (OSTI)

Within the next 3-7 years the US light duty fleet and fuel supply will encounter what is commonly referred to as the "blend wall". This phenomenon describes the situation when more ethanol production has been mandated than ...

McAulay, Jeffrey L. (Jeffrey Lewis)

2009-01-01T23:59:59.000Z

68

Evaluating the impact of advanced vehicle and fuel technologies in U.S. light duty vehicle fleet  

E-Print Network (OSTI)

The unrelenting increase in oil use by the U.S. light-duty vehicle (LDV) fleet presents an extremely challenging energy and environmental problem. A variety of propulsion technologies and fuels have the promise to reduce ...

Bandivadekar, Anup P

2008-01-01T23:59:59.000Z

69

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

NLE Websites -- All DOE Office Websites (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

70

Selection of Light Duty Truck Engine Air Systems Using Virtual Lab Tests  

DOE Green Energy (OSTI)

An integrated development approach using seasoned engine technology methodologies, virtual lab parametric investigations, and selected hardware verification tests reflects today's state-of-the-art R&D trends. This presentation will outline such a strategy. The use of this ''Wired'' approach results in substantial reduction in the development cycle time and hardware iterations. An example showing the virtual lab application for a viable design of the air-exhaust-turbocharger system of a light duty truck engine for personal transportation will be presented.

Zhang, Houshun

2000-08-20T23:59:59.000Z

71

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

Science Conference Proceedings (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

72

Tier 2 Useful Life (120,000 miles) Exhaust Emission Results for a NOx Adsorber and Diesel Particle Filter Equipped Light-Duty Diesel Vehicle  

DOE Green Energy (OSTI)

Investigates the emission control system performance and system desulfurization effects on regulated and unregulated emissions in a light-duty diesel engine.

Tatur, M.; Tomazic, D.; Thornton, M.; Orban, J.; Slone, E.

2006-05-01T23:59:59.000Z

73

An Analysis of the Relationship between Casualty Risk Per Crash and Vehicle Mass and Footprint for Model Year 2000-2007 Light-Duty Vehicles-Preliminary report  

E-Print Network (OSTI)

variables, on 13-state casualty risk per crash, lightvariables, on 13-state casualty risk per crash, lighton crashes with heavier light-duty trucks, by case vehicle

Wenzel, Tom

2013-01-01T23:59:59.000Z

74

Hydrocarbon and Electrical Requirements in the Plasma During Treatment of NOx in Light-Duty Diesel Engine Exhaust  

DOE Green Energy (OSTI)

This paper examines the hydrocarbon (C{sub 1}/NO{sub x} ratio) and electrical energy density (ratio of power to exhaust flow rate) requirements in the plasma during plasma-assisted catalytic reduction of NO{sub x}. The requirements for treatment of NO{sub x} in heavy-duty and light-duty diesel engines are compared. It is shown that, for light-duty applications, the plasma can significantly enhance the catalytic reduction of NO{sub x} with little fuel penalty incurred in the plasma process.

Penetrante, B.; Brusasco,R.M.; Merritt, B.T.; Vogtlin, G.E.

1999-10-28T23:59:59.000Z

75

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

NLE Websites -- All DOE Office Websites (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,

76

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

Science Conference Proceedings (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

77

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

Science Conference Proceedings (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

78

Federal Alternative Fuel Program Light Duty Vehicle Operations. Second annual report to Congress for fiscal year 1992  

DOE Green Energy (OSTI)

This annual report to Congress details the second year of the Federal light duty vehicle operations as required by Section 400AA(b)(1)(B) of the Energy Policy and Conservation Act as amended by the Alternative Motor Fuels Act of 1988, Public Law 100-494. In 1992, the Federal alternative fuel vehicle fleet expanded significantly, from the 65 M85 (85 percent methanol and 15 percent unleaded gasoline) vehicles acquired in 1991 to an anticipated total of 3,267 light duty vehicles. Operating data are being collected from slightly over 20 percent, or 666, of these vehicles. The 601 additional vehicles that were added to the data collection program in 1992 include 75 compressed natural gas Dodge full-size (8-passenger) vans, 25 E85 (85 percent denatured ethanol and 15 percent unleaded gasoline) Chevrolet Lumina sedans, 250 M85 Dodge Spirit sedans (planned to begin operation in fiscal year 1993), and 251 compressed natural gas Chevrolet C-20 pickup trucks. Figure ES-1 illustrates the locations where the Federal light duty alternative fuel vehicles that are participating in the data collection program are operating. The primary criteria for placement of vehicles will continue to include air quality attainment status and the availability of an alternative fuel infrastructure to support the vehicles. This report details the second year of the Federal light duty vehicle operations, from October 1991 through September 1992.

Not Available

1993-07-01T23:59:59.000Z

79

Reduce growth rate of light-duty vehicle travel to meet 2050 global climate goals This article has been downloaded from IOPscience. Please scroll down to see the full text article.  

E-Print Network (OSTI)

.iop.org/ERL/6/024018 Abstract Strong policies to constrain increasing global use of light-duty vehicles (cars reductions may be sought in sectors such as electricity generation and light-duty vehicle (LDV

Kammen, Daniel M.

80

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.

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

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.

82

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.

83

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.

84

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

SciTech Connect

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

85

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

Science Conference Proceedings (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

86

Electric Technologies for Light-duty Vehicles in the United States Abstract  

E-Print Network (OSTI)

This paper is concerned with the present status and future projections for emerging technologies that can be utilized in light-duty vehicles in the next five to ten years to significantly reduce their CO2 emissions. The emerging technologies considered are modern clean diesel engines and hybrid-electric powertrains using batteries and/or ultracapacitors for energy storage. Throughout the study, six classes of vehicles –compact passenger cars to large SUVs-were considered. For each vehicle class, computer simulations (Advisor 2002) and cost analyses were performed for conventional ICE and mild and full parallel hybrids using port-fuel injected and lean burn gasoline engines and direct-injection turbo-charged diesel engines to determine the fuel economy and differential costs for the various vehicle designs using the conventional gasoline PFI engine vehicle as the baseline. CO2 emissions (gmCO2/mi) for each driveline and vehicle case were calculated from the fuel economy values. On a percentage or ratio basis, the analyses indicated that the fuel economy gains, CO2 emissions reductions, and cost/price increases due to the use of the advanced engines and hybrid-electric drivelines were essentially independent of vehicle class. This means that a regulation specifying the same fractional

United States; Andrew Burke; Ethan Abeles; Andrew Burke; Ethan Abeles

2004-01-01T23:59:59.000Z

87

APBF-DEC NOx Adsorber/DPF Project: Light-Duty Passenger Car Platform  

DOE Green Energy (OSTI)

A 1.9L turbo direct injection (TDI) diesel engine was modified to achieve the upcoming Tier 2 Bin 5 emission standard in combination with a NOx adsorber catalyst (NAC) and a diesel particulate filter (DPF). The primary objective for developing this test bed is to investigating the effects of different fuel sulfur contents on the performance of an advanced emission control system (ECS) in a light-duty application. During the development process, the engine-out emissions were minimized by applying a state-of-the-art combustion system in combination with cooled exhaust gas recirculation (EGR). The subsequent calibration effort resulted in emission levels requiring 80-90 percent nitrogen-oxide (NOx) and particulate matter (PM) conversion rates by the corresponding ECS. The strategy development included ean/rich modulation for NAC regeneration, as well as, the desulfurization of the NAC and the regeneration of the DPF. Two slightly different ECS were investigated and calibrated. The initial vehicle results in an Audi A4 station wagon over the federal test procedure (FTP), US 06, and the highway fuel economy test (HFET) cycle indicate the potential of these configuration to meet the future Tier 2 emission standard.

Tomazic, D; Tatur, M; Thornton, M

2003-08-24T23:59:59.000Z

88

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

SciTech Connect

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

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

2013-01-01T23:59:59.000Z

89

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

Science Conference Proceedings (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

90

Plasma Catalysis for NOx Reduction from Light-Duty Diesel Vehicles  

SciTech Connect

The control of NOx (NO and NO2) emissions from so-called ‘lean-burn’ vehicle engines remains a challenge. In this program, we have been developing a novel plasma/catalyst technology for the remediation of NOx under lean (excess oxygen) conditions, specifically for compression ignition direct injection (CIDI) diesel engines that have significant fuel economy benefits over conventional stoichiometric gasoline engines. Program efforts included: (1) improving the catalyst and plasma reactor efficiencies for NOx reduction; (2) studies to reveal important details of the reaction mechanism(s) that can then guide our catalyst and reactor development efforts; (3) evaluating the performance of prototype systems on real engine exhaust; and (4) studies of the effects of the plasma on particulate matter (PM) in real diesel engine exhaust. Figure 1 is a conceptual schematic of a plasma/catalyst device, which also shows our current best understanding of the role of the various components of the overall device for reducing NOx from the exhaust of a CIDI engine. When this program was initiated, it was not at all clear what the plasma was doing and, as such, what class of catalyst materials might be expected to produce good results. With the understanding of the role of the plasma (as depicted in Figure 1) obtained in this program, faujasite zeolite-based catalysts were developed and shown to produce high activity for NOx reduction of plasma-treated exhaust in a temperature range expected for light-duty diesel engines. These materials are the subject of a pending patent application, and were recognized with a prestigious R&D100 Award in 2002. In addition, PNNL staff were awarded a Federal Laboratory Consortium (FLC) Award in 2003 “For Excellence in Technology Transfer”. The program also received the DOE’s 2001 CIDI Combustion and Emission Control Program Special Recognition Award and 2004 Advanced Combustion Engine R&D Special Recognition Award.

Barlow, Stephan E.; Kwak, Ja Hun; Peden, Charles HF; Szanyi, Janos; Tonkyn, Russell G.; Howden, Ken; Hoard, John W.; Cho, Byong; Schmieg, Steven J.; Brooks, David J.; Nunn, Steven; Davis, Patrick

2004-12-31T23:59:59.000Z

91

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

92

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 . . . . . . . . . . . . . . . . . .

93

Plasma Catalysis for NOx Reduction from Light-Duty Diesel Vehicles  

DOE Green Energy (OSTI)

On behalf of the Department of Energy's Office of FreedomCAR and Vehicle Technologies, we are pleased to introduce the Fiscal Year (FY) 2004 Annual Progress Report for the Advanced Combustion Engine R&D Sub-Program. The mission of the FreedomCAR and Vehicle Technologies Program is to develop more energy efficient and environmentally friendly highway transportation technologies that enable Americans to use less petroleum for their vehicles. The Advanced Combustion Engine R&D Sub-Program supports this mission by removing the critical technical barriers to commercialization of advanced internal combustion engines for light-, medium-, and heavy-duty highway vehicles that meet future Federal and state emissions regulations. The primary objective of the Advanced Combustion Engine R&D Sub-Program is to improve the brake thermal efficiency of internal combustion engines from 30 to 45 percent for light-duty applications by 2010; and 40 to 55 percent for heavy-duty applications by 2012; while meeting cost, durability, and emissions constraints. R&D activities include work on combustion technologies that increase efficiency and minimize in-cylinder formation of emissions, as well as aftertreatment technologies that further reduce exhaust emissions. Work is also being conducted on ways to reduce parasitic and heat transfer losses through the development and application of thermoelectrics and turbochargers that include electricity generating capability, and conversion of mechanically driven engine components to be driven via electric motors. This introduction serves to outline the nature, current progress, and future directions of the Advanced Combustion Engine R&D Sub-Program. The research activities of this Sub-Program are planned in conjunction with the FreedomCAR Partnership and the 21st Century Truck Partnership and are carried out in collaboration with industry, national laboratories, and universities. Because of the importance of clean fuels in achieving low emissions, R&D activities are closely coordinated with the relevant activities of the Fuel Technologies Sub-Program, also within the Office of FreedomCAR and Vehicle Technologies. Research is also being undertaken on hydrogen-fueled internal combustion engines to provide an interim hydrogen-based powertrain technology that promotes the longer-range FreedomCAR Partnership goal of transitioning to a hydrogen-fueled transportation system. Hydrogen engine technologies being developed have the potential to provide diesel-like engine efficiencies with near-zero emissions.

None

2005-12-15T23:59:59.000Z

94

Investigating potential light-duty efficiency improvements through simulation of turbo-compounding and waste-heat recovery systems  

Science Conference Proceedings (OSTI)

Modern diesel engines used in light-duty transportation applications have peak brake thermal efficiencies in the range of 40-42% for high-load operation with substantially lower efficiencies at realistic road-load conditions. Thermodynamic energy and exergy analysis reveals that the largest losses from these engines are due to combustion irreversibility and heat loss to the coolant, through the exhaust, and by direct convection and radiation to the environment. Substantial improvement in overall engine efficiency requires reducing or recovering these losses. Unfortunately, much of the heat transfer either occurs at relatively low temperatures resulting in large entropy generation (such as in the air-charge cooler), is transferred to low-exergy flow streams (such as the oil and engine coolant), or is radiated or convected directly to the environment. While there are significant opportunities for recovery from the exhaust and EGR cooler for heavy-duty applications, achieving similar benefits for light-duty applications is complicated by transient, low-load operation at typical driving conditions and competition with the turbocharger and aftertreatment system for the limited thermal resources. We have developed an organic Rankine cycle model using GT-Suite to investigate the potential for efficiency improvement through waste-heat recovery from the exhaust and EGR cooler of a light-duty diesel engine. The model is used to examine the effects of efficiency-improvement strategies such as cylinder deactivation, use of advanced materials and improved insulation to limit ambient heat loss, and turbo-compounding on the steady-state performance of the ORC system and the availability of thermal energy for downstream aftertreatment systems. Results from transient drive-cycle simulations are also presented, and we discuss strategies to address operational difficulties associated with transient drive cycles and balancing the thermal requirements of waste-heat recovery, turbocharging or turbo-compounding, and exhaust aftertreatment.

Edwards, Kevin Dean [ORNL; Wagner, Robert M [ORNL; Briggs, Thomas E [ORNL

2010-01-01T23:59:59.000Z

95

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

DOE Green Energy (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

96

Evaluation of unthrottled combustion system options for light duty applications with future syncrude derived fuels. Alternative Fuels Utilization Program  

DOE Green Energy (OSTI)

An experimental program examining the interaction between several fuel and light duty automotive engine combinations is detailed. Combustion systems addressed covered indirect and direct injection diesel and spark ignited stratified charge. Fuels primarily covered D2, naphtha and intermediate broadcut blends. Low ignition quality diesel fuels were also evaluated. The results indicate the baseline fuel tolerance of each combustion system and enable characteristics of the systems to be compared. Performance, gaseous and particulate emissions aspects were assessed. The data obtained assists in the selection of candidate combustion systems for potential future fuels. Performance and environmental penalties as appropriate are highlighted relative to the individual candidates. Areas of further work for increased understanding are also reviewed.

Needham, J. R.; Cooper, B. M.; Norris-Jones, S. R.

1982-12-01T23:59:59.000Z

97

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.

98

Light-Duty Drive Cycle Simulations of Diesel Engine-Out Exhaust Properties for an RCCI-Enabled Vehicle  

SciTech Connect

In-cylinder blending of gasoline and diesel fuels to achieve low-temperature reactivity controlled compression ignition (RCCI) can reduce NOx and PM emissions while maintaining or improving brake thermal efficiency compared to conventional diesel combustion (CDC). Moreover, the dual-fueling RCCI is able to achieve these benefits by tailoring combustion reactivity over a wider range of engine operation than is possible with a single fuel. However, the currently demonstrated range of stable RCCI combustion just covers a portion of the engine speed-load range required in several light-duty drive cycles. This means that engines must switch from RCCI to CDC when speed and load fall outside of the stable RCCI range. In this study we investigated the impact of RCCI as it has recently been demonstrated on practical engine-out exhaust temperature and emissions by simulating a multi-mode RCCI-enabled vehicle operating over two urban and two highway driving cycles. To implement our simulations, we employed experimental engine maps for a multi-mode RCCI/CDC engine combined with a standard mid-size, automatic transmission, passenger vehicle in the Autonomie vehicle simulation platform. Our results include both detailed transient and cycle-averaged engine exhaust temperature and emissions for each case, and we note the potential implications of the modified exhaust properties on catalytic emissions control and utilization of waste heat recovery on future RCCI-enabled vehicles.

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

2013-01-01T23:59:59.000Z

99

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

Science Conference Proceedings (OSTI)

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

Greene, David L [ORNL

2011-01-01T23:59:59.000Z

100

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

DOE Green Energy (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; Daw, C Stuart [ORNL; Wagner, Robert M [ORNL

2012-01-01T23:59:59.000Z

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.


101

Soybean and Coconut Biodiesel Fuel Effects on Combustion Characteristics in a Light-Duty Diesel Engine  

Science Conference Proceedings (OSTI)

This study investigated the effects of soybean- and coconut-derived biodiesel fuels on combustion characteristics in a 1.7-liter direct injection, common rail diesel engine. Five sets of fuels were studied: 2007 ultra-low sulfur diesel (ULSD), 5% and 20% volumetric blends of soybean biodiesel with ULSD (soybean B5 and B20), and 5% and 20% volumetric blends of coconut biodiesel with ULSD (coconut B5 and B20). In conventional diesel combustion mode, particulate matter (PM) and nitrogen oxides (NO/dx) emissions were similar for all fuels studied except soybean B20. Soybean B20 produced the lowest PM but the highest NO/dx emissions. Compared with conventional diesel combustion mode, high efficiency clean combustion (HECC) mode, achieved by increased EGR and combustion phasing, significantly reduced both PM and NO/dx emissions for all fuels studied at the expense of higher hydrocarbon (HC) and carbon monoxide (CO) emissions and an increase in fuel consumption (less than 4%). ULSD, soybean B5, and coconut B5 showed no difference in exhaust emissions. However, PM emissions increased slightly for soybean B20 and coconut B20. NO/dx emissions increased significantly for soybean B20, while those for coconut B20 were comparable to ULSD. Differences in the chemical and physical properties of soybean and coconut biodiesel fuels compared with ULSD, such as higher fuel-borne oxygen, greater viscosity, and higher boiling temperatures, play a key role in combustion processes and, therefore, exhaust emissions. Furthermore, the highly unsaturated ester composition in soybean biodiesel can be another factor in the increase of NO/dx emissions.

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

2008-01-01T23:59:59.000Z

102

Investigating potential efficiency improvement for light-duty transportation applications through simulation of an organic Rankine cycle for waste-heat recovery  

SciTech Connect

Modern diesel engines used in light-duty transportation applications have peak brake thermal efficiencies in the range of 40-42% for high-load operation with substantially lower efficiencies at realistic road-load conditions. Thermodynamic energy and exergy analysis reveals that the largest losses from these engines are due to heat loss and combustion irreversibility. Substantial improvement in overall engine efficiency requires reducing or recovering these losses. Unfortunately, much of the heat transfer either occurs at relatively low temperatures resulting in large entropy generation (such as in the air-charge cooler), is transferred to low-exergy flow streams (such as the oil and engine coolant), or is radiated or convected directly to the environment. While there are significant opportunities for recovery from the exhaust and EGR cooler for heavy-duty applications, the potential benefits of such a strategy for light-duty applications are unknown due to transient operation, low-load operation at typical driving conditions, and the added mass of the system. We have developed an organic Rankine cycle model using GT-Suite to investigate the potential for efficiency improvement through waste-heat recovery from the exhaust and EGR cooler of a light-duty diesel engine. Results from steady-state and drive-cycle simulations are presented, and we discuss strategies to address operational difficulties associated with transient drive cycles and competition between waste-heat recovery systems, turbochargers, aftertreatment devices, and other systems for the limited thermal resources.

Edwards, Kevin Dean [ORNL; Wagner, Robert M [ORNL

2010-01-01T23:59:59.000Z

103

Demonstration of oxygen-enriched combustion system on a light-duty vehicle to reduce cold-start emissions  

DOE Green Energy (OSTI)

The oxygen content in the ambient air drawn by combustion engines can be increased by polymer membranes. The authors have previously demonstrated that 23 to 25% (concentration by volume) oxygen-enriched intake air can reduce hydrocarbons (HC), carbon monoxide (CO), air toxics, and ozone-forming potential (OFP) from flexible-fueled vehicles (FFVs) that use gasoline or M85. When oxygen-enriched air was used only during the initial start-up and warm-up periods, the emission levels of all three regulated pollutants [CO, nonmethane hydrocarbons (NMHC), and NO{sub x}] were lower than the U.S. EPA Tier II (year 2004) standards (without adjusting for catalyst deterioration factors). In the present work, an air separation membrane module was installed on the intake of a 2.5-L FFV and tested at idle and free acceleration to demonstrate the oxygen-enrichment concept for initial start-up and warm-up periods. A bench-scale, test set-up was developed to evaluate the air separation membrane characteristics for engine applications. On the basis of prototype bench tests and from vehicle tests, the additional power requirements and module size for operation of the membrane during the initial period of the cold-phase, FTP-75 cycle were evaluated. A prototype membrane module (27 in. long, 3 in. in diameter) supplying about 23% oxygen-enriched air in the engine intake only during the initial start-up and warm-up periods of a 2.5-L FFV requires additional power (blower) of less than one horsepower. With advances in air separation membranes to develop compact modules, oxygen enrichment of combustion air has the potential of becoming a more practical technique for controlling exhaust emissions from light-duty vehicles.

Sekar, R.; Poola, R.B.

1997-08-01T23:59:59.000Z

104

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

105

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

SciTech Connect

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

106

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

Science Conference Proceedings (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

107

Fabrication and testing of an enhanced ignition system to reduce cold-start emissions in an ethanol (E85) light-duty truck engine  

DOE Green Energy (OSTI)

This report describes an experimental investigation of the potential for an enhanced ignition system to lower the cold-start emissions of a light-duty vehicle engine using fuel ethanol (commonly referred to as E85). Plasma jet ignition and conventional inductive ignition were compared for a General Motors 4-cylinder, alcohol-compatible engine. Emission and combustion stability measurements were made over a range of air/fuel ratios and spark timing settings using a steady-state, cold-idle experimental technique in which the engine coolant was maintained at 25 C to simulate cold-running conditions. These tests were aimed at identifying the degree to which calibration strategies such as mixture enleanment and retarded spark timing could lower engine-out hydrocarbon emissions and raise exhaust temperatures, as well as determining how such calibration changes would affect the combustion stability of the engine (as quantified by the coefficient of variation, or COV, of indicated mean effective pressure calculated from successive cylinder pressure measurements). 44 refs., 39 figs.

Gardiner, D.; Mallory, R.; Todesco, M. [Nexum Research Corp., Kingston, Ontario (Canada). Thermotech Engineering Div.

1997-09-01T23:59:59.000Z

108

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

Science Conference Proceedings (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

109

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

SciTech Connect

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

110

EIA - Assumptions to the Annual Energy Outlook 2009 - Coal Market...  

Annual Energy Outlook 2012 (EIA)

of mining equipment, the cost of factor inputs (labor and fuel), and other mine supply costs. The key assumptions underlying the coal production modeling are: As capacity...

111

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.

112

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

SciTech Connect

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

113

Comments on the Joint Proposed Rulemaking to Establish Light-Duty Vehicle Greenhouse Gas Emission Standards and Corporate Average Fuel Economy Standards  

SciTech Connect

I appreciate the opportunity to provide comments on the joint rulemaking to establish greenhouse gas emission and fuel economy standards for light-duty vehicles. My comments are directed at the choice of vehicle footprint as the attribute by which to vary fuel economy and greenhouse gas emission standards, in the interest of protecting vehicle occupants from death or serious injury. I have made several of these points before when commenting on previous NHTSA rulemakings regarding CAFE standards and safety. The comments today are mine alone, and do not necessarily represent the views of the US Department of Energy, Lawrence Berkeley National Laboratory, or the University of California. My comments can be summarized as follows: (1) My updated analysis of casualty risk finds that, after accounting for drivers and crash location, there is a wide range in casualty risk for vehicles with the same weight or footprint. This suggests that reducing vehicle weight or footprint will not necessarily result in increased fatalities or serious injuries. (2) Indeed, the recent safety record of crossover SUVs indicates that weight reduction in this class of vehicles resulted in a reduction in fatality risks. (3) Computer crash simulations can pinpoint the effect of specific design changes on vehicle safety; these analyses are preferable to regression analyses, which rely on historical vehicle designs, and cannot fully isolate the effect of specific design changes, such as weight reduction, on crash outcomes. (4) There is evidence that automakers planned to build more large light trucks in response to the footprint-based light truck CAFE standards. Such an increase in the number of large light trucks on the road may decrease, rather than increase, overall safety.

Wenzel, Thomas P

2009-10-27T23:59:59.000Z

114

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

SciTech Connect

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

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

2012-03-30T23:59:59.000Z

115

In-Cylinder Fuel Blending of Gasoline/Diesel for Improved Efficiency and Lowest Possible Emissions on a Multi-Cylinder Light-Duty Diesel Engine  

DOE Green Energy (OSTI)

In-cylinder fuel blending of gasoline/diesel fuel is investigated on a multi-cylinder light-duty diesel engine as a potential strategy to control in-cylinder fuel reactivity for improved efficiency and lowest possible emissions. This approach was developed and demonstrated at the University of Wisconsin through modeling and single-cylinder engine experiments. The objective of this study is to better understand the potential and challenges of this method on a multi-cylinder engine. More specifically, the effect of cylinder-to-cylinder imbalances, heat rejection, and in-cylinder charge motion as well as the potential limitations imposed by real-world turbo-machinery were investigated on a 1.9-liter four-cylinder engine. This investigation focused on one engine condition, 2300 rpm, 4.2 bar brake mean effective pressure (BMEP). Gasoline was introduced with a port-fuel-injection system. Parameter sweeps included gasoline-to-diesel fuel ratio, intake air mixture temperature, in-cylinder swirl number, and diesel start-of-injection phasing. In addition, engine parameters were trimmed for each cylinder to balance the combustion process for maximum efficiency and lowest emissions. An important observation was the strong influence of intake charge temperature on cylinder pressure rise rate. Experiments were able to show increased thermal efficiency along with dramatic decreases in oxides of nitrogen (NOX) and particulate matter (PM). However, indicated thermal efficiency for the multi-cylinder experiments were less than expected based on modeling and single-cylinder results. The lower indicated thermal efficiency is believed to be due increased heat transfer as compared to the model predictions and suggest a need for improved cylinder-to-cylinder control and increased heat transfer control.

Curran, Scott [ORNL; Prikhodko, Vitaly Y [ORNL; Wagner, Robert M [ORNL; Parks, II, James E [ORNL; Cho, Kukwon [ORNL; Sluder, Scott [ORNL; Kokjohn, Sage [University of Wisconsin, Madison; Reitz, Rolf [University of Wisconsin

2010-01-01T23:59:59.000Z

116

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

DOE Green Energy (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; Curran, Scott [ORNL; Prikhodko, Vitaly Y [ORNL; Sluder, Scott [ORNL; Parks, II, James E [ORNL; Wagner, Robert M [ORNL

2011-01-01T23:59:59.000Z

117

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.

118

Optimizing U.S. Mitigation Strategies for the Light-Duty Transportation Sector: What We Learn from a Bottom-Up Model  

E-Print Network (OSTI)

types of ethanol: corn ethanol and cellulosic ethanol. ManyInput assumptions for corn ethanol and cellulosic ethanolMost of the values for corn ethanol are extracted from GREET

Yeh, Sonia; Farrell, Alexander E.; Plevin, Richard J; Sanstad, Alan; Weyant, John

2008-01-01T23:59:59.000Z

119

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. . . . . . . . . . . . .

120

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

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121

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  

DOE Green Energy (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

122

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.

123

Idaho National Engineering Laboratory installation roadmap assumptions document. Revision 1  

SciTech Connect

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

124

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.

125

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 EnergyÂ’s Office of Policy and International Affairs, other DOE offices, and other government agencies.

126

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

127

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

128

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

129

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.  

DOE Green Energy (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

130

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

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

131

The disciplined use of simplifying assumptions  

Science Conference Proceedings (OSTI)

Simplifying assumptions --- everyone uses them but no one's programming tool explicitly supports them. In programming, as in other kinds of engineering design, simplifying assumptions are an important method for dealing with complexity. Given a complex ...

Charles Rich; Richard C. Waters

1982-04-01T23:59:59.000Z

132

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

133

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).

134

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).

135

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

136

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

137

Light Duty Vehicle Pathways July 26, 2010  

E-Print Network (OSTI)

) Association for the Study of Peak Oil; (Figure 3) David Greene, ORNL. 0 100 200 300 400 500 1900 1910 1920 Efficiency and Renewable Energy U.S. Department of Energy #12;2 Conventional Oil International Energy Agency, 2008 · Across 798 of world's largest oil fields, average production decline of 6.7%/year. · Of 798

138

Assumptions to the Annual Energy Outlook 2012  

U.S. Energy Information Administration (EIA)

Assumptions to the Annual Energy Outlook 2012 August 2012 www.eia.gov U.S. Department of Energy Washington, DC 20585

139

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.

140

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.

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.


141

Climate Action Planning Tool Formulas and Assumptions  

NLE Websites -- All DOE Office Websites (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.

142

Hierarchy of Mesoscale Flow Assumptions and Equations  

Science Conference Proceedings (OSTI)

The present research proposes a standard nomenclature for mesoscale meteorological concepts and integrates existing concepts of atmospheric space scales, flow assumptions, governing equations, and resulting motions into a hierarchy useful in ...

P. Thunis; R. Bornstein

1996-02-01T23:59:59.000Z

143

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

144

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

145

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

146

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

147

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.

148

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.

149

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.

150

KEY PERSONNEL  

National Nuclear Security Administration (NNSA)

APPENDIX J KEY PERSONNEL 07032013 TITLE NAME President Christopher C. Gentile Vice President, Operations Robin Stubenhofer Director, Sr. Program Management Rick Lavelock...

151

Key Outcomes:  

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

INDIAN COUNTRY ENERGY AND INFRASTRUCTURE WORKING GROUP ICEIWG Key Points & Action Items Inaugural Meeting Thursday, August 25, 2011 Renaissance Denver Hotel Denver, Colorado...

152

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

153

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

154

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

155

Key Documents  

Science Conference Proceedings (OSTI)

AOCS by-laws, code of ethics and anti trust policy established during our 100+ legacy. Key Documents AOCS History and Governance about us aocs committees contact us division council fats governing board history oils professionals science value cen

156

Assumptions to Annual Energy Outlook - Energy Information Administrati...  

Annual Energy Outlook 2012 (EIA)

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...

157

Assumptions to the Annual Energy Outlook - Table 41  

Annual Energy Outlook 2012 (EIA)

> Forecasts >Assumptions to the Annual Energy Outlook> Download Report Assumption to the Annual Energy Outlook Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF...

158

Key Outcomes:  

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

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

159

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).

160

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.

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.


161

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 EnergyÂ’s Office of Policy, other DOE offices, and other government agencies.

162

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).

163

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

164

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).

165

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

166

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).

167

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

168

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).

169

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

170

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).

171

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).

172

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).

173

Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and  

Alternative Fuels and Advanced Vehicles Data Center (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...

174

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.

175

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

176

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

177

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

178

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

179

Sixth Northwest Conservation and Electric Power Plan Chapter 2: Key Assumptions  

E-Print Network (OSTI)

PRICES The future prices of natural gas, coal, and oil have an important effect on the Council's power, is an important factor when considering the use of natural gas for electricity generation. Price volatility-sized homes. The cost of energy (natural gas, oil, and electricity) is expected to be significantly higher

180

General model of quantum key distribution  

E-Print Network (OSTI)

A general mathematical framework for quantum key distribution based on the concepts of quantum channel and Turing machine is suggested. The security for its special case is proved. The assumption is that the adversary can perform only individual (in essence, classical) attacks. For this case an advantage of quantum key distribution over classical one is shown.

A. S. Trushechkin; I. V. Volovich

2005-04-20T23:59:59.000Z

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181

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).

182

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).

183

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).

184

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.

185

Assumptions to the Annual Energy Outlook - Macroeconomic Activity...  

Annual Energy Outlook 2012 (EIA)

Macroeconomic Activity Module Assumption to the Annual Energy Outlook Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the...

186

Crypto Key Management Framework  

Science Conference Proceedings (OSTI)

... A Framework for Designing Cryptographic Key Management Systems ... A Framework for Designing Cryptographic Key Management Systems ...

2013-08-13T23:59:59.000Z

187

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

188

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.

189

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

190

BUDGET KEY DATES  

Science Conference Proceedings (OSTI)

BUDGET KEY DATES. For Immediate Release: December 15, 2009. Contact: Diane Belford 301-975-8400. Budget Key Dates.

2013-06-16T23:59:59.000Z

191

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

GTC (2014) Fuel: Flex Fuel (E85) (Flexible Fuel) Class: SedanWagon Fuel Economy (Gasoline): 12 mpg city, 20...

192

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (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

193

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

The All American Utility Vehicle is built on a rust-proof, all-aluminum chassis. Sunray Solar Tops supplied by Eco Trans Alliance, LLC, allows the vehicle to convert solar energy...

194

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

The All American Cruise Car is built on a rust-proof, all-aluminum chassis. Sunray Solar Tops supplied by Eco Trans Alliance, LLC, allows the vehicle to convert solar energy...

195

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Jeep - Grand Cherokee 2WD AWD (2014) Fuel: Flex Fuel (E85) (Flexible Fuel) Class: Sport Utility Vehicle Fuel Economy (Gasoline): 17 mpg city, 24 mpg highway Fuel Economy (Flex...

196

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Flying Spur (2014) Fuel: Flex Fuel (E85) (Flexible Fuel) Class: SedanWagon Fuel Economy (Gasoline): 12 mpg city, 21 mpg highway Fuel Economy (Flex Fuel (E85)): 9 mpg city, 15 mpg...

197

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Mercedes-Benz - E350 (2014) Fuel: Flex Fuel (E85) (Flexible Fuel) Class: SedanWagon Fuel Economy (Gasoline): 21 mpg city, 31 mpg highway Fuel Economy (Flex Fuel (E85)): 16 mpg...

198

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

(Gasoline): 12 mpg city, 20 mpg highway Fuel Economy (Flex Fuel (E85)): 9 mpg city, 15 mpg highway Emission Certification: California LEV II, Tier 2 Bin 5 Engine: 12-cyl, 6.0L...

199

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

(Gasoline): 12 mpg city, 20 mpg highway Fuel Economy (Flex Fuel (E85)): 9 mpg city, 15 mpg highway Emission Certification: California LEV II, Tier 2 Bin 5 Engine: 12-cyl, 6.0 L...

200

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

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

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

Note: This page contains sample records for the topic "key assumptions light-duty" from the National Library of EnergyBeta (NLEBeta).
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to obtain the most current and comprehensive results.


201

Advanced Vehicle Testing Activity: Light-Duty Vehicle Publications  

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

2008 B Baker EV100 Electric Pickup (1994) - EVAmerica Performance Results Barwood CNG Cab Fleet Study Final Results, May 1999 Summary: Case Study, May 1999 BAT International...

202

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

mpg city, 29 mpg highway Fuel Economy (Flex Fuel (E85)): 15 mpg city, 21 mpg highway Emission Certification: California LEV II, Tier 2 Bin 5 Engine: 6-cyl, 3.5L Transmission: Auto...

203

American Recovery and Reinvestment Act (ARRA) - Light-Duty Electric...  

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

by the U.S. Department of Energys (DOE) Vehicle Technology Program (VTP) to collect electric drive vehicle and charging infrastructure data for several deployment projects...

204

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Acura - ILX (2014) Fuel: Hybrid Electric (Hybrid Electric) Class: SedanWagon Fuel Economy (Gasoline): 39 mpg city, 38 mpg highway Emission Certification: California PZEV, Tier 2...

205

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Honda - Accord Plug-in Hybrid (2014) Fuel: Hybrid Electric (Hybrid Electric) Class: SedanWagon Fuel Economy (Gasoline): 36 mpg city, 39 mpg highway Engine: 4-cyl, 2.0L...

206

Light-Duty Fuel Cell Vehicles State of Development  

E-Print Network (OSTI)

delivered by Honda and Toyota within hours of each other on December 23, 2002. The current inventory includes concept vehicles like the General Motors HyWire and comparable visions from Toyota and Daimler, such as generating electricity in an emergency or power failure. It is telling that Toyota, which is regarded

207

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Flying Spur (2013) Fuel: Flex Fuel (E85) (Flexible Fuel) Class: SedanWagon Fuel Economy (Gasoline): 12 mpg city, 21 mpg highway Fuel Economy (Flex Fuel (E85)): 9 mpg city, 15 mpg...

208

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Regal (2013) Fuel: Flex Fuel (E85) (Flexible Fuel) Class: SedanWagon Fuel Economy (Gasoline): 19 mpg city, 31 mpg highway Fuel Economy (Flex Fuel (E85)): 15 mpg city, 22...

209

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

GT (2013) Fuel: Flex Fuel (E85) (Flexible Fuel) Class: SedanWagon Fuel Economy (Gasoline): 12 mpg city, 19 mpg highway Fuel Economy (Flex Fuel (E85)): 8 mpg city, 14 mpg highway...

210

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Verano (2013) Fuel: Flex Fuel (E85) (Flexible Fuel) Class: SedanWagon Fuel Economy (Gasoline): 21 mpg city, 32 mpg highway Fuel Economy (Flex Fuel (E85)): 15 mpg city, 23...

211

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Allroad Quatro (2013) Fuel: Flex Fuel (E85) (Flexible Fuel) Class: SedanWagon Fuel Economy (Gasoline): 20 mpg city, 27 mpg highway Fuel Economy (Flex Fuel (E85)): 14 mpg city, 18...

212

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Q5 (2013) Fuel: Flex Fuel (E85) (Flexible Fuel) Class: Sport Utility Vehicle Fuel Economy (Gasoline): 20 mpg city, 28 mpg highway Fuel Economy (Flex Fuel (E85)): 14 mpg city, 19...

213

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Super Sport (2013) Fuel: Flex Fuel (E85) (Flexible Fuel) Class: SedanWagon Fuel Economy (Gasoline): 12 mpg city, 19 mpg highway Fuel Economy (Flex Fuel (E85)): 8 mpg city, 14...

214

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

GTC (2013) Fuel: Flex Fuel (E85) (Flexible Fuel) Class: SedanWagon Fuel Economy (Gasoline): 11 mpg city, 19 mpg highway Fuel Economy (Flex Fuel (E85)): 8 mpg city, 13...

215

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Regal (2013) Fuel: Flex Fuel (E85) (Flexible Fuel) Class: SedanWagon Fuel Economy (Gasoline): 18 mpg city, 29 mpg highway Fuel Economy (Flex Fuel (E85)): 13 mpg city, 20 mpg...

216

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Cadillac - ATS RWD AWD (2013) Fuel: Flex Fuel (E85) (Flexible Fuel) Class: SedanWagon Fuel Economy (Gasoline): 19 mpg city, 28 mpg highway Fuel Economy (Flex Fuel (E85)): 14 mpg...

217

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Q5 Hybrid (2013) Fuel: Hybrid Electric (Hybrid Electric) Class: Sport Utility Vehicle Fuel Economy (Gasoline): 24 mpg city, 30...

218

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

3 (2013) Fuel: Hybrid Electric (Hybrid Electric) Class: SedanWagon Fuel Economy (Gasoline): 25 mpg city, 33...

219

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Acura - ILX (2013) Fuel: Hybrid Electric (Hybrid Electric) Class: SedanWagon Fuel Economy (Gasoline): 39 mpg city, 38 mpg highway Emission Certification: LEV II PZEV, Tier 2 Bin 3...

220

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

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

the OEMs have improved the fuel efficiency and rate of acceleration. Now, however, the demand to reduce greenhouse gases and use of oil require additional solutions for...

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

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Electric (Dedicated) Class: Neighborhood Electric Vehicle Estimated Range: 35 city Battery: 6 12-volt flooded electrolyte Dealer: Locate a dealer Description: The GEM e2 is a...

222

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Electric (Dedicated) Class: Neighborhood Electric Vehicle Estimated Range: 30 city Battery: absorbed glass mat lead-acid (6 12-volt batteries) Engine: Brushless 3 phase...

223

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Close Detail Chevrolet - Spark (2014) Fuel: Electric (Dedicated) Class: SedanWagon Battery: 20 kWh Emission Certification: California ZEV, Tier 2 Bin 1 Engine: 100 kW e-motor...

224

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Passenger Van (2011) Fuel: Electric (Dedicated) Class: Neighborhood Electric Vehicle Battery: 6 12-volt lead acid (72) Dealer: Locate a dealer Description: The Greentruck EVP1000...

225

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Electric (Dedicated) Class: Neighborhood Electric Vehicle Estimated Range: 40 city Battery: Absorbed glass mat lead-acid (6 12-volt batteries) Dealer: Locate a dealer...

226

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Crew Cab (2011) Fuel: Electric (Dedicated) Class: Neighborhood Electric Vehicle Battery: 6 12-volt lead-acid (72) Dealer: Locate a dealer Description: The Greentruck EVX1000...

227

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Electric (Dedicated) Class: Neighborhood Electric Vehicle Estimated Range: 40 city Battery: 9 8-volt gel batteries Engine: 7.0 hp motor Dealer: Locate a dealer Description: The...

228

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Electric (Dedicated) Class: Neighborhood Electric Vehicle Estimated Range: 35 city Battery: 6 12-volt flooded electrolyte Dealer: Locate a dealer Description: The GEM eS is a...

229

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Electric (Dedicated) Class: Neighborhood Electric Vehicle Estimated Range: 40 city Battery: 6 12-volt lead-acid Dealer: Locate a dealer Description: The Greentruck EVC1000 is a...

230

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Electric (Dedicated) Class: Neighborhood Electric Vehicle Estimated Range: 30 city Battery: 6 12-volt gel batteries Dealer: Locate a dealer Description: The GEM e6 has seating...

231

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Electric (Dedicated) Class: Neighborhood Electric Vehicle Estimated Range: 30 city Battery: 6 12-volt flooded electrolyte Dealer: Locate a dealer Description: The GEM eS is a...

232

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Electric (Dedicated) Class: Neighborhood Electric Vehicle Estimated Range: 30 city Battery: 6 12-volt flooded electrolyte Dealer: Locate a dealer Description: The GEM e4 has...

233

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Extended Cab (2011) Fuel: Electric (Dedicated) Class: Neighborhood Electric Vehicle Battery: 12 6-volt lead-acid (72 volts) Dealer: Locate a dealer Description: The Greentruck...

234

Light duty utility arm equipment qualification test procedure  

SciTech Connect

The Equipment Qualification Test described in this test procedure document is the acceptance test procedure (ATP) for the LDUA Baseline System. It verifies that the equipment is complete and in working order, and demonstrates its readiness for being deployed into an actual underground storage tank.

Kiebel, G.R., Westinghouse Hanford

1996-07-22T23:59:59.000Z

235

Fire hazards evaluation for light duty utility arm system  

Science Conference Proceedings (OSTI)

In accordance with DOE Order 5480.7A, Fire Protection, a Fire Hazards Analysis must be performed for all new facilities. LMHC Fire Protection has reviewed and approved the significant documentation leading up to the LDUA operation. This includes, but is not limited to, development criteria and drawings, Engineering Task Plan, Quality Assurance Program Plan, and Safety Program Plan. LMHC has provided an appropriate level of fire protection for this activity as documented.

HUCKFELDT, R.A.

1999-02-24T23:59:59.000Z

236

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

ILX (2014) Fuel: Hybrid Electric Class: SedanWagon Fuel Economy: 39 mpg city, 38 mpg highway Emission Certification: LEV II PZEV, Tier 2 Bin 2 Engine: 1.5L I4 Transmission: ECVT...

237

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

LaCrosse, FWDAWD (2014) Fuel: Flex Fuel (E85) Class: SedanWagon Fuel Economy (gasoline): 18 mpg city, 28 mpg highway Fuel Economy (E85): 14 mpg city, 20 mpg highway Emission...

238

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Q5 AWD (2014) Fuel: Flex Fuel (E85) Class: Sport Utility Vehicle Fuel Economy (gasoline): 20 mpg city, 28 mpg highway Fuel Economy (E85): 14 mpg city, 19...

239

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Supersports (2014) Fuel: Flex Fuel (E85) Class: SedanWagon Fuel Economy (gasoline): 12 mpg city, 20...

240

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Allroad quattro (2014) Fuel: Flex Fuel (E85) Class: SedanWagon Fuel Economy (gasoline): 20 mpg city, 27 mpg highway Fuel Economy (E85): 14 mpg city, 18...

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

Alternative Fuels Data Center: Light-Duty Vehicle Search  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Audi - Q5 Hybrid, AWD (2014) Fuel: Hybrid Electric Class: Sport Utility Vehicle Fuel Economy: 24 mpg city, 30 mpg highway Emission Certification: LEV II ULEV, Tier 2 Bin 5 Engine:...

242

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

243

Prognostic Evaluation of Assumptions Used by Cumulus Parameterizations  

Science Conference Proceedings (OSTI)

Using a spectral-type cumulus parameterization that includes moist downdrafts within a three-dimensional mesoscale model, various disparate closure assumptions are systematically tested within the generalized framework of dynamic control, static ...

Georg A. Grell

1993-03-01T23:59:59.000Z

244

Computational soundness for standard assumptions of formal cryptography  

E-Print Network (OSTI)

This implementation is conceptually simple, and relies only on general assumptions. Specifically, it can be thought of as a 'self-referential' variation on a well-known encryption scheme. 4. Lastly, we show how the ...

Herzog, Jonathan, 1975-

2004-01-01T23:59:59.000Z

245

LBL-34045 UC-1600 Residential HVAC Data, Assumptions and Methodology  

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

5 UC-1600 Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1 Francis X. Johnson, Richard E. Brown, James W. Hanford, Alan H. Sanstad and...

246

Assumptions to the Annual Energy Outlook 1999 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

bullet1.gif (843 bytes) Feedback link.gif (1946 bytes) bullet1.gif (843 bytes) Assumptions to the AEO99 bullet1.gif (843 bytes) Interactive Data Queries to the AEO99 bullet1.gif...

247

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

248

A Comparison of the Free Ride and CISK Assumptions  

Science Conference Proceedings (OSTI)

In a recent paper Fraedrich and McBride have studied the relation between the “free ride” and CISK (conditional instability of the second kind) assumptions in a well-known two-layer model. Here the comparison is extended to a more general case. ...

Torben Strunge Pedersen

1991-08-01T23:59:59.000Z

249

Security proof of practical quantum key distribution schemes  

E-Print Network (OSTI)

This paper provides a security proof of the Bennett-Brassard (BB84) quantum key distribution protocol in practical implementation. To prove the security, it is not assumed that defects in the devices are absorbed into an adversary's attack. In fact, the only assumption in the proof is that the source is characterized. The proof is performed by lower-bounding adversary's Renyi entropy about the key before privacy amplification. The bound reveals the leading factors reducing the key generation rate.

Yodai Watanabe

2005-06-29T23:59:59.000Z

250

Group key management  

SciTech Connect

This report describes an architecture and implementation for doing group key management over a data communications network. The architecture describes a protocol for establishing a shared encryption key among an authenticated and authorized collection of network entities. Group access requires one or more authorization certificates. The implementation includes a simple public key and certificate infrastructure. Multicast is used for some of the key management messages. An application programming interface multiplexes key management and user application messages. An implementation using the new IP security protocols is postulated. The architecture is compared with other group key management proposals, and the performance and the limitations of the implementation are described.

Dunigan, T.; Cao, C.

1997-08-01T23:59:59.000Z

251

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

252

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":""}]}

253

PROJECT MANGEMENT PLAN EXAMPLES Policy & Operational Decisions, Assumptions  

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

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.

254

Cost and Performance Assumptions for Modeling Electricity Generation Technologies  

NLE Websites -- All DOE Office Websites (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

255

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

256

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

257

Effects of internal gain assumptions in building energy calculations  

DOE Green Energy (OSTI)

The utilization of direct solar gains in buildings can be affected by operating profiles, such as schedules for internal gains, thermostat controls, and ventilation rates. Building energy analysis methods use various assumptions about these profiles. The effects of typical internal gain assumptions in energy calculations are described. Heating and cooling loads from simulations using the DOE 2.1 computer code are compared for various internal-gain inputs: typical hourly profiles, constant average profiles, and zero gain profiles. Prototype single-family-detached and multi-family-attached residential units are studied with various levels of insulation and infiltration. Small detached commercial buildings and attached zones in large commercial buildings are studied with various levels of internal gains. The results of this study indicate that calculations of annual heating and cooling loads are sensitive to internal gains, but in most cases are relatively insensitive to hourly variations in internal gains.

Christensen, C.; Perkins, R.

1981-01-01T23:59:59.000Z

258

Unifying classical and quantum key distillation  

E-Print Network (OSTI)

Assume that two distant parties, Alice and Bob, as well as an adversary, Eve, have access to (quantum) systems prepared jointly according to a tripartite state ?ABE. In addition, Alice and Bob can use local operations and authenticated public classical communication. Their goal is to establish a key which is unknown to Eve. We initiate the study of this scenario as a unification of two standard scenarios: (i) key distillation (agreement) from classical correlations and (ii) key distillation from pure tripartite quantum states. Firstly, we obtain generalisations of fundamental results related to scenarios (i) and (ii), including upper bounds on the key rate, i.e., the number of key bits that can be extracted per copy of ?ABE. Moreover, based on an embedding of classical distributions into quantum states, we are able to find new connections between protocols and quantities in the standard scenarios (i) and (ii). Secondly, we study specific properties of key distillation protocols. In particular, we show that every protocol that makes use of pre-shared key can be transformed into an equally efficient protocol which needs no pre-shared key. This result is of practical significance as it applies to quantum key distribution (QKD) protocols, but it also implies that the key rate cannot be locked with information on Eve’s side. Finally, we exhibit an arbitrarily large separation between the key rate in the standard setting where Eve is equipped with quantum memory and the key rate in a setting where Eve is only given classical memory. This shows that assumptions on the nature of Eve’s memory are important in order to determine the correct security threshold in QKD. 1

Matthias Christ; Renato Renner

2008-01-01T23:59:59.000Z

259

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.

260

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.

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 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.

262

Unifying classical and quantum key distillation  

E-Print Network (OSTI)

Assume that two distant parties, Alice and Bob, as well as an adversary, Eve, have access to (quantum) systems prepared jointly according to a tripartite state. In addition, Alice and Bob can use local operations and authenticated public classical communication. Their goal is to establish a key which is unknown to Eve. We initiate the study of this scenario as a unification of two standard scenarios: (i) key distillation (agreement) from classical correlations and (ii) key distillation from pure tripartite quantum states. Firstly, we obtain generalisations of fundamental results related to scenarios (i) and (ii), including upper bounds on the key rate. Moreover, based on an embedding of classical distributions into quantum states, we are able to find new connections between protocols and quantities in the standard scenarios (i) and (ii). Secondly, we study specific properties of key distillation protocols. In particular, we show that every protocol that makes use of pre-shared key can be transformed into an equally efficient protocol which needs no pre-shared key. This result is of practical significance as it applies to quantum key distribution (QKD) protocols, but it also implies that the key rate cannot be locked with information on Eve's side. Finally, we exhibit an arbitrarily large separation between the key rate in the standard setting where Eve is equipped with quantum memory and the key rate in a setting where Eve is only given classical memory. This shows that assumptions on the nature of Eve's memory are important in order to determine the correct security threshold in QKD.

Matthias Christandl; Artur Ekert; Michal Horodecki; Pawel Horodecki; Jonathan Oppenheim; Renato Renner

2006-08-25T23:59:59.000Z

263

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

264

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

265

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.

266

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.

267

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.

268

The Key Agreement Schemes  

Science Conference Proceedings (OSTI)

... The three key derivation functions include KDF in Counter Mode, KDF in Feedback Mode, and KDF in Double-Pipeline Iteration Mode. ...

2013-04-23T23:59:59.000Z

269

Crypto Key Management Framework  

Science Conference Proceedings (OSTI)

... responsible to executive-level management (eg, the Chief Information Officer) for the ... entity information, keys, and metadata into a database used by ...

2013-08-15T23:59:59.000Z

270

Cryptographic Key Management Workshop 2010  

Science Conference Proceedings (OSTI)

Cryptographic Key Management Workshop 2010. Purpose: ... Related Project(s): Cryptographic Key Management Project. Details: ...

2013-08-01T23:59:59.000Z

271

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).

272

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).

273

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.

274

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)

275

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 EIAÂ’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

276

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

277

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.

278

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 EIAÂ’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].

279

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

280

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

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

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),

282

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

283

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

284

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

285

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

286

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.

287

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

288

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).

289

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.

290

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

291

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

292

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 EIAÂ’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

293

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.

294

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

295

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,

296

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

297

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

298

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 EIAÂ’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

299

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

300

Cost and Performance Assumptions for Modeling Electricity Generation Technologies  

Science Conference Proceedings (OSTI)

The goal of this project was to compare and contrast utility scale power plant characteristics used in data sets that support energy market models. Characteristics include both technology cost and technology performance projections to the year 2050. Cost parameters include installed capital costs and operation and maintenance (O&M) costs. Performance parameters include plant size, heat rate, capacity factor or availability factor, and plant lifetime. Conventional, renewable, and emerging electricity generating technologies were considered. Six data sets, each associated with a different model, were selected. Two of the data sets represent modeled results, not direct model inputs. These two data sets include cost and performance improvements that result from increased deployment as well as resulting capacity factors estimated from particular model runs; other data sets represent model input data. For the technologies contained in each data set, the levelized cost of energy (LCOE) was also evaluated, according to published cost, performance, and fuel assumptions.

Tidball, R.; Bluestein, J.; Rodriguez, N.; Knoke, S.

2010-11-01T23:59:59.000Z

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.


301

A Graphical Approach to Diagnosing the Validity of the Conditional Independence Assumptions of a Bayesian Network Given Data  

SciTech Connect

Bayesian networks have attained widespread use in data analysis and decision making. Well studied topics include: efficient inference, evidence propagation, parameter learning from data for complete and incomplete data scenarios, expert elicitation for calibrating Bayesian network probabilities, and structure learning. It is not uncommon for the researcher to assume the structure of the Bayesian network or to glean the structure from expert elicitation or domain knowledge. In this scenario, the model may be calibrated through learning the parameters from relevant data. There is a lack of work on model diagnostics for fitted Bayesian networks; this is the contribution of this paper. We key on the definition of (conditional) independence to develop a graphical diagnostic method which indicates if the conditional independence assumptions imposed when one assumes the structure of the Bayesian network are supported by the data. We develop the approach theoretically and describe a Monte Carlo method to generate uncertainty measures for the consistency of the data with conditional independence assumptions under the model structure. We describe how this theoretical information and the data are presented in a graphical diagnostic tool. We demonstrate the approach through data simulated from Bayesian networks under different conditional independence assumptions. We also apply the diagnostic to a real world data set. The results indicate that our approach is a reasonable way of visualizing and inspecting the conditional independence assumption of a Bayesian network given data.

Walsh, Stephen J.; Whitney, Paul D.

2012-12-14T23:59:59.000Z

302

Optical key system  

Science Conference Proceedings (OSTI)

An optical key system comprises a battery-operated optical key and an isolated lock that derives both its operating power and unlock signals from the correct optical key. A light emitting diode or laser diode is included within the optical key and is connected to transmit a bit-serial password. The key user physically enters either the code-to-transmit directly, or an index to a pseudorandom number code, in the key. Such person identification numbers can be retained permanently, or ephemeral. When a send button is pressed, the key transmits a beam of light modulated with the password information. The modulated beam of light is received by a corresponding optical lock with a photovoltaic cell that produces enough power from the beam of light to operate a password-screen digital logic. In one application, an acceptable password allows a two watt power laser diode to pump ignition and timing information over a fiberoptic cable into a sealed engine compartment. The receipt of a good password allows the fuel pump, spark, and starter systems to each operate. Therefore, bypassing the lock mechanism as is now routine with automobile thieves is pointless because the engine is so thoroughly disabled.

Hagans, K.G.; Clough, R.E.

2000-04-25T23:59:59.000Z

303

Optical key system  

DOE Patents (OSTI)

An optical key system comprises a battery-operated optical key and an isolated lock that derives both its operating power and unlock signals from the correct optical key. A light emitting diode or laser diode is included within the optical key and is connected to transmit a bit-serial password. The key user physically enters either the code-to-transmit directly, or an index to a pseudorandom number code, in the key. Such person identification numbers can be retained permanently, or ephemeral. When a send button is pressed, the key transmits a beam of light modulated with the password information. The modulated beam of light is received by a corresponding optical lock with a photovoltaic cell that produces enough power from the beam of light to operate a password-screen digital logic. In one application, an acceptable password allows a two watt power laser diode to pump ignition and timing information over a fiberoptic cable into a sealed engine compartment. The receipt of a good password allows the fuel pump, spark, and starter systems to each operate. Therefore, bypassing the lock mechanism as is now routine with automobile thieves is pointless because the engine is so thoroughly disabled.

Hagans, Karla G. (Livermore, CA); Clough, Robert E. (Danville, CA)

2000-01-01T23:59:59.000Z

304

SR Key Facts  

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

Key Facts Savannah River Site Budget FY 2011 Budget Summary FY 2011 SRS EM Program Budget Summary FY 2012 Presidential Budget Request for SRS FY 2014 SRS EM Budget Presentation...

305

Key masking using biometry  

Science Conference Proceedings (OSTI)

We construct an abstract model based on a fundamental similarity property, which takes into account parametric dependencies and reflects a specific collection of requirements. We consider a method for masking a cryptographic key using biometry, which ...

A. L. Chmora

2011-06-01T23:59:59.000Z

306

Key Emergency Information  

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

Key Emergency Information What to Do if an Emergency Arises DOE is committed to public safety in the event an emergency arises. You will likely be made aware that an emergency is...

307

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.

308

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.

309

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.

310

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.

311

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.

312

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

313

ARM - Key Science Questions  

NLE Websites -- All DOE Office Websites (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

314

A Statistical Analysis of the Dependency of Closure Assumptions in Cumulus Parameterization on the Horizontal Resolution  

Science Conference Proceedings (OSTI)

Simulated data from the UCLA cumulus ensemble model are used to investigate the quasi-universal validity of closure assumptions used in existing cumulus parameterizations. A closure assumption is quasi-universally valid if it is sensitive neither ...

Kuan-Man Xu

1994-12-01T23:59:59.000Z

315

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

Science Conference Proceedings (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

316

Key Research Results Achievement  

E-Print Network (OSTI)

daylighting options for specific spaces with sample design layouts · Various HVAC system types that achieve%energysavingsovercode.NREL developedthesimulationtoolsandledthe committeethatproducedtheguides. Key Result TheAdvanced school in Greensburg, Kansas, used many of the energy efficiency measures outlined in the Advanced Energy

317

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

318

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).

319

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

320

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).

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

AP Key Accomplishments  

NLE Websites -- All DOE Office Websites (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

322

Environmental Assessment of Plug-In Hybrid Electric Vehicles, Volume 2: United States Air Quality Analysis Based on AEO-2006 Assumptions for 2030  

Science Conference Proceedings (OSTI)

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

2007-07-23T23:59:59.000Z

323

Cryptographic Key Management Workshop 2012  

Science Conference Proceedings (OSTI)

Cryptographic Key Management Workshop 2012. Purpose: NIST is conducting a two-day Key Management Workshop on September 10-11. ...

2013-08-01T23:59:59.000Z

324

A Review of Electric Vehicle Cost Studies: Assumptions, Methodologies, and Results  

E-Print Network (OSTI)

assumptions Battery costs and capacities: Lead acid batteryElectricity cost Battery cost and capacity: Lead acidElectricity cost Battery cost and capacity: N i C d

Lipman, Timothy

1999-01-01T23:59:59.000Z

325

Heterogeneous Correlation Modeling Based on the Wavelet Diagonal Assumption and on the Diffusion Operator  

Science Conference Proceedings (OSTI)

This article discusses several models for background error correlation matrices using the wavelet diagonal assumption and the diffusion operator. The most general properties of filtering local correlation functions, with wavelet formulations, are ...

Olivier Pannekoucke

2009-09-01T23:59:59.000Z

326

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

Science Conference Proceedings (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

327

Background on Quantum Key Distribution  

Science Conference Proceedings (OSTI)

... Background on Quantum Key Distribution. ... If someone, referred to by cryptographers as Eve, tries to eavesdrop on the transmission, she will not ...

2011-08-02T23:59:59.000Z

328

Partnership in key exchange protocols  

Science Conference Proceedings (OSTI)

In this paper, we investigate the notion of partnership as found in security models for key exchange protocols. Several different approaches have been pursued to define partnership, with varying degrees of success. We aim to provide an overview and criticism ... Keywords: key exchange, partnership, session identifier

Kazukuni Kobara; Seonghan Shin; Mario Strefler

2009-03-01T23:59:59.000Z

329

Security of differential phase shift quantum key distribution against individual attacks  

E-Print Network (OSTI)

We derive a proof of security for the Differential Phase Shift Quantum Key Distribution (DPSQKD) protocol under the assumption that Eve is restricted to individual attacks. The security proof is derived by bounding the average collision probability, which leads directly to a bound on Eve's mutual information on the final key. The security proof applies to realistic sources based on pulsed coherent light. We then compare individual attacks to sequential attacks and show that individual attacks are more powerful.

Edo Waks; Hiroki Takesue; Yoshihisa Yamamoto

2005-08-15T23:59:59.000Z

330

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

331

Key Activities | Department of Energy  

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

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,

332

Key China Energy Statistics 2011  

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

1 Title Key China Energy Statistics 2011 Publication Type Chart Year of Publication 2012 Authors Levine, Mark D., David Fridley, Hongyou Lu, and Cecilia Fino-Chen Date Published...

333

Key China Energy Statistics 2012  

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

2 Title Key China Energy Statistics 2012 Publication Type Chart Year of Publication 2012 Authors Levine, Mark D., David Fridley, Hongyou Lu, and Cecilia Fino-Chen Date Published...

334

On the use of the parabolic concentration profile assumption for a rotary desiccant dehumidifier  

SciTech Connect

The current work describes a model for a desiccant dehumidifier which uses a parabolic concentration profile assumption to model the diffusion resistance inside the desiccant particle. The relative merits of the parabolic concentration profile model compared with widely utilized rotary desiccant wheel models are discussed. The periodic steady-state parabolic concentration profile model developed is efficient and can accommodate a variety of materials. These features make it an excellent tool for design studies requiring repetitive desiccant wheel simulations. A quartic concentration profile assumption was also investigated which yielded a 2.8 percent average improvement in prediction error over the parabolic model.

Chant, E.E. [Univ. of Turabo, Gurabo (Puerto Rico); Jeter, S.M. [Georgia Inst. of Technology, Atlanta, GA (United States). George W. Woodruff School of Mechanical Engineering

1995-02-01T23:59:59.000Z

335

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

Science Conference Proceedings (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

336

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

E-Print Network (OSTI)

variable displacement compressors. Conventional MAC systems have fixed speed compressors with a constant refrigerant flow

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

337

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

E-Print Network (OSTI)

variable displacement compressors. Conventional MAC systems have fixed speed compressors with a constant refrigerant flow

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

338

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

SciTech Connect

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

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

2012-01-01T23:59:59.000Z

339

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

E-Print Network (OSTI)

Tasks Across Engine and Aftertreatment Systems. ” Society ofaftertreatment catalyst systems together with engineengine control and design as well as improved aftertreatment

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

340

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

E-Print Network (OSTI)

Tasks Across Engine and Aftertreatment Systems. ” Society ofaftertreatment catalyst systems together with engineengine control and design as well as improved aftertreatment

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

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.


341

Ohio's First Ethanol-Fueled Light-Duty Fleet: Final Study Results  

DOE Green Energy (OSTI)

In 1996, the State of Ohio established a project to demonstrate the use of an ethanol blend transportation fuel in flexible-fuel vehicles. This report presents the data collection and analysis from this project, with particular focus on vehicle performance, cost of operation and limited emissions testing.

Whalen, P.; Poole, L.; Howard, R.

1998-12-31T23:59:59.000Z

342

Ohio's First Ethanol-Fueled Light-Duty Fleet: Final Study Results  

DOE Green Energy (OSTI)

In 1996, the State of Ohio established a project to demonstrate the use of an ethanol blend (E85, which is 85% transportation-grade ethanol and 15% gasoline) as a transportation fuel in flexible-fuel vehicles (FFVs). The study included ten FFVs and three gasoline vehicles (used as control vehicles) operated by five state agencies. The project included 24 months of data collection on vehicle operations. This report presents the data collection and analysis from the study, with a focus on the last year.

Battelle

1998-10-01T23:59:59.000Z

343

Resource Assessment and Land Use Change Light Duty Vehicles/Fuels  

E-Print Network (OSTI)

to farmgate or forest roadside (not transportation or conversion) · Exogenous targets for biofuel production emissions related to biofuels ­ Emissions can be reduced by including a broad set of incentives targeting · Resource assessment and indirect land use change 2 #12;Increasing Feedstock Production for Biofuels

344

INL Update: The EV Project and Other Light-Duty Electric Drive...  

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

summary and future * Other ARRA and TADA data collection activities * DC Fast Charge battery impacts g y p * EVSE, DC FC and wireless activities * Vehicle Mass impacts on fuel...

345

Evaluation of aftermarket CNG conversion kits in light-duty vehicle applications. Final report  

DOE Green Energy (OSTI)

The Institute of Gas Technology (IGT) was contracted by the National Renewable Energy Laboratory (NREL) to evaluate three compressed natural gas (CNG) conversion systems using a 1993 Chevrolet Lumina baseline vehicle. A fourth conversion system was added to the test matrix through funding support from Brooklyn Union. The objective of this project was to measure the Federal Test Procedure (FTP) emissions and fuel economy of the different conversion systems, and to compare the performance to gasoline-fueled operation and each other. Different natural gas compositions were selected to represent the 10th percentile, mean, and 90th percentile compositions distributed in the Continental United States. Testing with these different compositions demonstrated the systems` ability to accommodate the spectrum of gas found in the United States. Each compressed natural gas conversion system was installed and adjusted according to the manufacturer`s instructions. In addition to the FTP testing, an evaluation of the comparative installation times and derivability tests (based on AGA and CRC guidelines) were conducted on each system.

Blazek, C.F.; Rowley, P.F.; Grimes, J.W. [Institute of Gas Technology, Chicago, IL (United States)

1995-07-01T23:59:59.000Z

346

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

E-Print Network (OSTI)

concern was the notion that CNG tanks would explode ifCA) did not have concerns about CNG tank integrity, and were

Nesbitt, Kevin; Sperling, Daniel

1998-01-01T23:59:59.000Z

347

Ohio's First Ethanol-Fueled Light-Duty Fleet: Final Study Results  

SciTech Connect

In 1996, the State of Ohio established a project to demonstrate the use of an ethanol blend transportation fuel in flexible-fuel vehicles. This report presents the data collection and analysis from this project, with particular focus on vehicle performance, cost of operation and limited emissions testing.

Whalen, P.; Poole, L.; Howard, R.

1998-12-31T23:59:59.000Z

348

Ohio's First Ethanol-Fueled Light-Duty Fleet: Final Study Results  

SciTech Connect

In 1996, the State of Ohio established a project to demonstrate the use of an ethanol blend (E85, which is 85% transportation-grade ethanol and 15% gasoline) as a transportation fuel in flexible-fuel vehicles (FFVs). The study included ten FFVs and three gasoline vehicles (used as control vehicles) operated by five state agencies. The project included 24 months of data collection on vehicle operations. This report presents the data collection and analysis from the study, with a focus on the last year.

Battelle

1998-10-01T23:59:59.000Z

349

How Much Could You Save by Idling Your Light-Duty Vehicle Less...  

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

Idling Fuel Costs How much does How many miles Preventive an oil change cost? between oil changes? "Miles of Idling" Maintenance Costs How much does How many miles a new...

350

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

E-Print Network (OSTI)

unlikely). For electric vehicles the primary safety concernsand safety issues of nickel metal-hydride batteries for electric vehicles.

Nesbitt, Kevin; Sperling, Daniel

1998-01-01T23:59:59.000Z

351

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

E-Print Network (OSTI)

unlikely). For electric vehicles the primary safety concernsand safety issues of mckel C M metal-hydride batteries for electric vehicles

Nesbitt, Kevin; Sperling, Daniel

1998-01-01T23:59:59.000Z

352

Effect of E85 on Tailpipe Emissions from Light-Duty Vehicles  

Science Conference Proceedings (OSTI)

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

Yanowitz, J.; McCormick, R. L.

2009-02-01T23:59:59.000Z

353

DOE AVTA: The EV Project and Other Light-Duty Electric Drive...  

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

Committee on Overcoming Barriers to Electric Vehicle Deployment The National Academies, Washington, DC , g , October 29, 2012 This presentation does not contain any proprietary...

354

Impacts of Biodiesel Fuel Blends Oil Dilution on Light-Duty Diesel Engine Operation  

DOE Green Energy (OSTI)

Assesses oil dilution impacts on a diesel engine operating with a diesel particle filter, NOx storage, a selective catalytic reduction emission control system, and a soy-based 20% biodiesel fuel blend.

Thornton, M. J.; Alleman, T. L.; Luecke, J.; McCormick, R. L.

2009-08-01T23:59:59.000Z

355

Light-Duty Vehicle Exhaust Emission Control Cost Estimates Using a Part-Pricing Approach  

E-Print Network (OSTI)

9. D. Jones, "Development Cost Estimates for Fuel Economy ofExhaust Emission Control Cost Estimates Using a Part-PricingExhaust Emission Control Cost Estimates Using a Part-Pricing

Wang, Quanlu; Kling, Catherine; Sperling, Daniel

1993-01-01T23:59:59.000Z

356

Lightweight materials in the light-duty passenger vehicle market: Their market penetration potential and impacts  

DOE Green Energy (OSTI)

This paper summarizes the results of a lightweight materials study. Various lightweight materials are examined and the most cost effective are selected for further analysis. Aluminum and high-performance polymer matrix composites (PMCS) are found to have the highest potential for reducing the weight of automobiles and passenger-oriented light trucks. Weight reduction potential for aluminum and carbon fiber-based PMCs are computed based on a set of component-specific replacement criteria (such as stiffness and strength), and the consequent incremental cost scenarios are developed. The authors assume that a materials R and D program successfully reduces the cost of manufacturing aluminum and carbon fiber PMC-intensive vehicles. A vehicle choice model is used to project market shares for the lightweight vehicles. A vehicle survival and age-related usage model is employed to compute energy consumption over time for the vehicle stock. After a review of projected costs, the following two sets of vehicles are characterized to compete with the conventional materials vehicles: (1) aluminum vehicles with limited replacement providing 19% weight reduction (AIV-Mid), and (2) aluminum vehicles with the maximum replacement providing 31% weight reduction (AIV-Max). Assuming mass-market introduction in 2005, the authors project a national petroleum energy savings of 3% for AIV-Mid and 5% for AIV-Max in 2030.

Stodolsky, F. [Argonne National Lab., IL (United States). Center for Transportation Research]|[Argonne National Lab., Washington, DC (United States); Vyas, A.; Cuenca, R. [Argonne National Lab., IL (United States). Center for Transportation Research

1995-06-01T23:59:59.000Z

357

Increasing the Fuel Economy and Safety of New Light-Duty Vehicles  

E-Print Network (OSTI)

drivers. They let the vehicle manufacturers off the hook. Weon their website. Vehicle manufacturers have striven toand manufacturers to see them incorporated in new vehicles.

Wenzel, Tom; Ross, Marc

2006-01-01T23:59:59.000Z

358

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

E-Print Network (OSTI)

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

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

359

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

E-Print Network (OSTI)

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

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

360

Electric powertrains : opportunities and challenges in the US light-duty vehicle fleet  

E-Print Network (OSTI)

Managing impending environmental and energy challenges in the transport sector requires a dramatic reduction in both the petroleum consumption and greenhouse gas (GHG) emissions of in-use vehicles. This study quantifies ...

Kromer, Matthew A

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.


361

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

E-Print Network (OSTI)

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

Nishimura, Eriko

2011-01-01T23:59:59.000Z

362

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

E-Print Network (OSTI)

of the Effects of Air Conditioning Operation and AssociatedSystem for Mobile Air Conditioning. ” Society of Automotiveof R-134a Automotive Air Conditioning System. ” Society of

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

363

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

E-Print Network (OSTI)

of the Effects of Air Conditioning Operation and AssociatedSystem for Mobile Air Conditioning. ” Society of Automotiveof R-134a Automotive Air Conditioning System. ” Society of

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

364

Ohio's First Ethanol-Fueled Light-Duty Fleet: Summary of Final...  

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

using study vehicles Council of Great Lakes Governors Public Utilities Commission of Ohio, Biomass Energy Program U.S. Department of Energy Battelle (under contract to NREL...

365

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

E-Print Network (OSTI)

in a hydrogen-fueled Prius by Texaco Ovonic (References 10-rates permitting the Prius to be tested on the Federal Urbanof the hydrogen-fueled Prius was about 150 miles. Higher

Burke, Andy; Gardiner, Monterey

2005-01-01T23:59:59.000Z

366

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

E-Print Network (OSTI)

and 70 MPa (10 kpsi) in carbon fiber-composite tanks, liquidloss of strength. The carbon fiber is the highest cost

Burke, Andy; Gardiner, Monterey

2005-01-01T23:59:59.000Z

367

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

E-Print Network (OSTI)

New Methods for the Storage of Hydrogen in Microspheres,15 th World Hydrogen Energy Conference, Yokohama, Japan,Uhlemann, M. , etals. , Hydrogen Storage in Different Carbon

Burke, Andy; Gardiner, Monterey

2005-01-01T23:59:59.000Z

368

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

E-Print Network (OSTI)

B. , and Ovshinsky, S.R. , A Hydrogen ICE Vehicle Powered byM. , and Stetson, N. , Solid Hydrogen Storage Systems forpaper from Texaco Ovonic Hydrogen Systems, Rochester Hills,

Burke, Andrew; Gardnier, Monterey

2005-01-01T23:59:59.000Z

369

Sulfur Management of NOx Adsorber Technology for Diesel Light-Duty Vehicle and Truck Applications  

DOE Green Energy (OSTI)

Sulfur poisoning from engine fuel and lube is one of the most recognizable degradation mechanisms of a NOx adsorber catalyst system for diesel emission reduction. Even with the availability of 15 ppm sulfur diesel fuel, NOx adsorber will be deactivated without an effective sulfur management. Two general pathways are currently being explored for sulfur management: (1) the use of a disposable SOx trap that can be replaced or rejuvenated offline periodically, and (2) the use of diesel fuel injection in the exhaust and high temperature de-sulfation approach to remove the sulfur poisons to recover the NOx trapping efficiency. The major concern of the de-sulfation process is the many prolonged high temperature rich cycles that catalyst will encounter during its useful life. It is shown that NOx adsorber catalyst suffers some loss of its trapping capacity upon high temperature lean-rich exposure. With the use of a disposable SOx trap to remove large portion of the sulfur poisons from the exhaust, the NOx adsorber catalyst can be protected and the numbers of de-sulfation events can be greatly reduced. Spectroscopic techniques, such as DRIFTS and Raman, have been used to monitor the underlying chemical reactions during NOx trapping/ regeneration and de-sulfation periods, and provide a fundamental understanding of NOx storage capacity and catalyst degradation mechanism using model catalysts. This paper examines the sulfur effect on two model NOx adsorber catalysts. The chemistry of SOx/base metal oxides and the sulfation product pathways and their corresponding spectroscopic data are discussed. SAE Paper SAE-2003-01-3245 {copyright} 2003 SAE International. This paper is published on this website with permission from SAE International. As a user of this website, you are permitted to view this paper on-line, download this pdf file and print one copy of this paper at no cost for your use only. The downloaded pdf file and printout of this SAE paper may not be copied, distributed or forwarded to others or for the use of others.

Fang, Howard L.; Wang, Jerry C.; Yu, Robert C. (Cummins, Inc.); Wan, C. Z. (Engelhard Corp.); Howden, Ken (U.S. Dept. of Energy)

2003-10-01T23:59:59.000Z

370

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

E-Print Network (OSTI)

Storage of Hydrogen in Microspheres, 15 th World Hydrogen Energyhydrogen in storage varies between the various energy storagethe energy storage characteristics of the various hydrogen

Burke, Andy; Gardiner, Monterey

2005-01-01T23:59:59.000Z

371

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

E-Print Network (OSTI)

hydrogen in storage varies between the various energy storagethe energy storage characteristics of the various hydrogenthat the energy densities of hydrogen storage technologies

Burke, Andrew; Gardnier, Monterey

2005-01-01T23:59:59.000Z

372

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

SciTech Connect

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

373

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

E-Print Network (OSTI)

respondents beheve compressed natural gas vehicles are asbelieved that compressed natural gas vehlcles (CNGVs) werethat he converts compressed natural gas vehicles back to

Nesbitt, Kevin; Sperling, Daniel

1998-01-01T23:59:59.000Z

374

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

E-Print Network (OSTI)

respondents believe compressed natural gas vehicles are asrespondents believe compressed natural gas vehicles are lessbelieved that compressed natural gas vehicles (CNGVs) were

Nesbitt, Kevin; Sperling, Daniel

1998-01-01T23:59:59.000Z

375

Evaluation of aftermarket LPG conversion kits in light-duty vehicle applications. Final report  

DOE Green Energy (OSTI)

SwRI was contracted by NREL to evaluate three LPG conversion kits on a Chevrolet Lumina. The objective of the project was to measure the Federal Test Procedure (FTP) emissions and fuel economy of these kits, and compare their performance to gasoline-fueled operation and to each other. Varying LPG fuel blends allowed a preliminary look at the potential for fuel system disturbance. The project required kit installation and adjustment according to manufacturer`s instructions. A limited amount of trouble diagnosis was also performed on the fuel systems. A simultaneous contract from the Texas Railroad Commission, in cooperation with NREL, provided funds for additional testing with market fuels (HD5 propane and industry average gasoline) and hydrocarbon (HC) emissions speciation to determine the ozone-forming potential of LPG HC emissions. This report documents the procurement, installation, and testing of these LPG conversion kits.

Bass, E.A. [Southwest Research Inst., San Antonio, TX (US)] [Southwest Research Inst., San Antonio, TX (US)

1993-06-01T23:59:59.000Z

376

Mobility Chains Analysis of Technologies for Passenger Cars and Light-Duty Vehicles  

E-Print Network (OSTI)

biological processes, thermochemical processes, and steam and electricity generation. The Role of Biomass BOUNDARY Fuel pathways simulated in this study are divided into five stages: biomass farming; biomass it undergoes anaerobic and aerobic fermentation. In the thermochemical plant (TCP), biomass feedstock undergoes

Argonne National Laboratory

377

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

E-Print Network (OSTI)

of grain-based corn ethanol and cellulosic ethanol intohas made today’s corn-derived ethanol a net GHG benefit. Onethat present corn-based ethanol production technology

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

378

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

E-Print Network (OSTI)

of grain-based corn ethanol and cellulosic ethanol intohas made today’s corn-derived ethanol a net GHG benefit. Onethat present corn-based ethanol production technology

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

379

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

E-Print Network (OSTI)

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

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

380

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

E-Print Network (OSTI)

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

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

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

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

E-Print Network (OSTI)

and Canada. ANL/ESD/02-5, Argonne National Laboratory, U.S.Department of Energy. Argonne, Illinois. Schwarz, W. and J.and Greenhouse Gas Emissions. ” Argonne National Laboratory,

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

382

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

E-Print Network (OSTI)

and Canada. ANL/ESD/02-5, Argonne National Laboratory, U.S.Department of Energy. Argonne, Illinois. Schwarz, W. and J.and Greenhouse Gas Emissions. ” Argonne National Laboratory,

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

383

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

E-Print Network (OSTI)

compared with the DOE goals in order to assess the presentcompared with the DOE goals in order to assess the present

Burke, Andrew; Gardnier, Monterey

2005-01-01T23:59:59.000Z

384

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

Science Conference Proceedings (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

385

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

E-Print Network (OSTI)

Air Resources Board, Sacramento, CA, 1993. Received forAir Resources Board, Sacramento, CA. Personal communiciat/Resources Board, Sacramento, CA. Personal communiciation,

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

1996-01-01T23:59:59.000Z

386

Biennial Assessment of the Fifth Power Plan Gas Turbine Power Plant Planning Assumptions  

E-Print Network (OSTI)

Biennial Assessment of the Fifth Power Plan Gas Turbine Power Plant Planning Assumptions October 17, 2006 Simple- and combined-cycle gas turbine power plants fuelled by natural gas are among the bulk-emission and efficient gas turbine technology made combined-cycle gas turbine power plants the "resource of choice

387

External review of the thermal energy storage (TES) cogeneration study assumptions. Final report  

DOE Green Energy (OSTI)

This report is to provide a detailed review of the basic assumptions made in the design, sizing, performance, and economic models used in the thermal energy storage (TES)/cogeneration feasibility studies conducted by Pacific Northwest Laboratory (PNL) staff. This report is the deliverable required under the contract.

Lai, B.Y.; Poirier, R.N. [Chicago Bridge and Iron Technical Services Co., Plainfield, IL (United States)

1996-08-01T23:59:59.000Z

388

EPAct Transportation Regulatory Activities: Key Terms  

NLE Websites -- All DOE Office Websites (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

389

EPAct Transportation Regulatory Activities: Key Federal Statutes  

NLE Websites -- All DOE Office Websites (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.

390

KIDS: keyed intrusion detection system  

Science Conference Proceedings (OSTI)

Since most current network attacks happen at the application layer, analysis of packet payload is necessary for their detection. Unfortunately malicious packets may be crafted to mimic normal payload, and so avoid detection if the anomaly detection method ... Keywords: Kerckhoffs' principle, anomaly detection, keyed IDS, network intrusion detection, word model

Sasa Mrdovic; Branislava Drazenovic

2010-07-01T23:59:59.000Z

391

Key Workplace Documents Federal Publications  

E-Print Network (OSTI)

, the Administration in 2007 concluded agreements with China on toys, food and feed, drugs and medical devicesKey Workplace Documents Federal Publications Cornell University ILR School Year 2008 China/498 #12;Order Code RL33536 China-U.S. Trade Issues Updated March 7, 2008 Wayne M. Morrison Specialist

392

Key technology trends - Satellite systems  

Science Conference Proceedings (OSTI)

This paper is based on material extracted from the WTEC Panel Report Global Satellite Communications Technology and Systems, December 1998. It presents an overview of key technology trends in communications satellites in the last few years. After the ... Keywords: Communications satellites, Satellite communications, Satellite technology overview

Charles W. Bostian; William T. Brandon; Alfred U. Mac Rae; Christoph E. Mahle; Stephen A. Townes

2000-08-01T23:59:59.000Z

393

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

NLE Websites -- All DOE Office Websites (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

394

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.

395

GRI baseline projection: Methodology and assumptions 1996 edition. Topical report, January-December 1995  

Science Conference Proceedings (OSTI)

The report documents the methodology employed in producing the 1996 Edition of the GRI Baseline Projection. DRI/McGraw-Hill`s Energy Group (DRI) maintains an energy modeling system for the Gas Research Institute (GRI) that is used to produce an annual projection of the supply and demand for energy by regions in the United States. The 1996 Edition of the GRI Baseline Projection is produced using several different models. The models analyze various pieces of the U.S. energy markets and their solutions are based on a framework of exogenous assumptions provided by GRI. The report describes the integration and solution procedures of the models and the assumptions used to produce the final projection results.

Rhodes, M.R.; Baxter, R.P.; Nottingham, R.P.

1996-04-01T23:59:59.000Z

396

GRI baseline projection: Methodology and assumptions 1995 edition. Topical report, January-December 1994  

SciTech Connect

The report documents the methodology employed in producing the 1995 Edition of the GRI Baseline Projection. DRI/McGraw-Hill`s Energy Group (DRI) maintains an energy modeling system for the Gas Research Institute (GRI) that is used to produce an annual projection of the supply and demand for energy by regions in the United States. The 1995 Edition of the GRI Baseline Projection is produced using several different models. The models analyze various pieces of the U.S. energy markets and their solutions are based on a framework of exogeneous assumptions provided by GRI. The report describes the integration and solution procedures of the models and the assumptions used to produce the final projection results.

Baxter, R.P.; Silveira, T.S.; Harshbarger, S.L.

1995-02-01T23:59:59.000Z

397

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.

398

Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results  

E-Print Network (OSTI)

A comparison of national energy consumption by fuel typeenergy consumption in homes under differing assumptions, scenarios, and policies. At the national

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

399

Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results  

E-Print Network (OSTI)

G. Koomey. 1994. Residential Appliance Data, Assumptions andunits) Table A 3 : Number of Appliances in Existing Homes (sector, including appliances and heating, ventilation, and

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

400

Rotating Plasma Finding is Key for ITER  

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

Plasma Finding is Key for ITER Rotating Plasma Finding is Key for ITER PlasmaTurbulenceCSChang.png Tokamak turbulence showing inward-propagating streamers from normalized...

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.


401

Vehicle Technologies Office: Key Activities in Vehicles  

NLE Websites -- All DOE Office Websites (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

402

Fuel Cell Technologies Office: Key Activities  

NLE Websites -- All DOE Office Websites (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

403

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

SciTech Connect

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

404

Residential Appliance Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1  

E-Print Network (OSTI)

LBL-34046 UC-350 Residential Appliance Data, Assumptions and Methodology for End-Use Forecasting. DE-AC03-76SF00098 #12;i ABSTRACT This report details the data, assumptions and methodology for end-use provided by the Appliance Model in the Residential End-Use Energy Planning System (REEPS), which

405

Algorithms for dynamic multicast key distribution  

Science Conference Proceedings (OSTI)

We study the problem of multicast key distribution for group security. Secure group communication systems typically rely on a group key, which is a secret shared among the members of the group. This key is used to provide privacy by encrypting all group ... Keywords: Dynamic key distribution, experimental algorithms, multicast

Justin Goshi; Richard E. Ladner

2007-02-01T23:59:59.000Z

406

Multiparty quantum key agreement with single particles  

Science Conference Proceedings (OSTI)

Two conditions must be satisfied in a secure quantum key agreement (QKA) protocol: (1) outside eavesdroppers cannot gain the generated key without introducing any error; (2) the generated key cannot be determined by any non-trivial subset of the participants. ... Keywords: Quantum cryptography, Quantum information, Quantum key agreement

Bin Liu; Fei Gao; Wei Huang; Qiao-Yan Wen

2013-04-01T23:59:59.000Z

407

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

408

A verifiable random function with short proofs and keys  

E-Print Network (OSTI)

Abstract. We give a simple and efficient construction of a verifiable random function (VRF) on bilinear groups. Our construction is direct. In contrast to prior VRF constructions [14, 15], it avoids using an inefficient Goldreich-Levin transformation, thereby saving several factors in security. Our proofs of security are based on a decisional bilinear Diffie-Hellman inversion assumption, which seems reasonable given current state of knowledge. For small message spaces, our VRF’s proofs and keys have constant size. By utilizing a collision-resistant hash function, our VRF can also be used with arbitrary message spaces. We show that our scheme can be instantiated with an elliptic group of very reasonable size. Furthermore, it can be made distributed and proactive. 1

Yevgeniy Dodis; R Yampolskiy

2005-01-01T23:59:59.000Z

409

Alternative Fuels Data Center: Key Federal Legislation  

Alternative Fuels and Advanced Vehicles Data Center (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,

410

SunShot Initiative: Key Activities  

NLE Websites -- All DOE Office Websites (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.

411

Renewable Energy Community: Key Elements  

NLE Websites -- All DOE Office Websites (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 â—Ź 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

412

Answering Key Fuel Cycle Questions  

Science Conference Proceedings (OSTI)

The Advanced Fuel Cycle Initiative (AFCI) program has both “outcome” and “process” goals because it must address both waste already accumulating as well as completing the fuel cycle in connection with advanced nuclear power plant concepts. The outcome objectives are waste geological repository capacity and cost, energy security and sustainability, proliferation resistance, fuel cycle economics, and safety. The process objectives are readiness to proceed and adaptability and robustness in the face of uncertainties. A classic decision-making approach to such a multi-attribute problem would be to weight individual quantified criteria and calculate an overall figure of merit. This is inappropriate for several reasons. First, the goals are not independent. Second, the importance of different goals varies among stakeholders. Third, the importance of different goals is likely to vary with time, especially the “energy future.” Fourth, some key considerations are not easily or meaningfully quantifiable at present. Instead, at this point, we have developed 16 questions the AFCI program should answer and suggest an approach of determining for each whether relevant options improve meeting each of the program goals. We find that it is not always clear which option is best for a specific question and specific goal; this helps identify key issues for future work. In general, we suggest attempting to create as many win-win decisions (options that are attractive or neutral to most goals) as possible. Thus, to help clarify why the program is exploring the options it is, and to set the stage for future narrowing of options, we have developed 16 questions, as follows: · What are the AFCI program goals? · Which potential waste disposition approaches do we plan for? · What are the major separations, transmutation, and fuel options? · How do we address proliferation resistance? · Which potential energy futures do we plan for? · What potential external triggers do we plan for? · Should we separate uranium? · If we separate uranium, should we recycle it, store it or dispose of it? · Is it practical to plan to fabricate and handle “hot” fuel? · Which transuranic elements (TRU) should be separated and transmuted? · Of those TRU separated, which should be transmuted together? · Should we separate and/or transmute Cs and Sr isotopes that dominate near-term repository heating? · Should we separate and/or transmute very long-lived Tc and I isotopes? · Which separation technology? · What mix of transmutation technologies? · What fuel technology best supports the above decisions?

Steven J. Piet; Brent W. Dixon; J. Stephen Herring; David E. Shropshire; Mary Lou Dunzik-Gougar

2003-10-01T23:59:59.000Z

413

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.

414

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

415

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

416

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

417

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

418

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

419

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

420

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

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421

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

422

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.

423

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

424

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

425

Washington International Renewable Energy Conference 2008 Pledges: Methodology and Assumptions Summary  

Science Conference Proceedings (OSTI)

The 2008 Washington International Renewable Energy Conference (WIREC) was held in Washington, D.C., from March 4-6, 2008, and involved nearly 9,000 people from 125 countries. The event brought together worldwide leaders in renewable energy (RE) from governments, international organizations, nongovernmental organizations, and the private sector to discuss the role that renewables can play in alleviating poverty, growing economies, and passing on a healthy planet to future generations. The conference concluded with more than 140 governments, international organizations, and private-sector representatives pledging to advance the uptake of renewable energy. The U.S. government authorized the National Renewable Energy Laboratory (NREL) to estimate the carbon dioxide (CO2) savings that would result from the pledges made at the 2008 conference. This report describes the methodology and assumptions used by NREL in quantifying the potential CO2 reductions derived from those pledges.

Babiuch, B.; Bilello, D. E.; Cowlin, S. C.; Mann, M.; Wise, A.

2008-08-01T23:59:59.000Z

426

Design assumptions and bases for small D-T-fueled spherical tokamak (ST) fusion core  

SciTech Connect

Recent progress in defining the assumptions and clarifying the bases for a small D-T-fueled ST fusion core are presented. The paper covers several issues in the physics of ST plasmas, the technology of neutral beam injection, the engineering design configuration, and the center leg material under intense neutron irradiation. This progress was driven by the exciting data from pioneering ST experiments, a heightened interest in proof-of-principle experiments at the MA level in plasma current, and the initiation of the first conceptual design study of the small ST fusion core. The needs recently identified for a restructured fusion energy sciences program have provided a timely impetus for examining the subject of this paper. Our results, though preliminary in nature, strengthen the case for the potential realism and attractiveness of the ST approach.

Peng, Yueng Kay Martin [ORNL; Haines, J.R. [Oak Ridge National Laboratory (ORNL)

1996-01-01T23:59:59.000Z

427

CRITICAL ASSUMPTIONS IN THE F-TANK FARM CLOSURE OPERATIONAL DOCUMENTATION REGARDING WASTE TANK INTERNAL CONFIGURATIONS  

SciTech Connect

The intent of this document is to provide clarification of critical assumptions regarding the internal configurations of liquid waste tanks at operational closure, with respect to F-Tank Farm (FTF) closure documentation. For the purposes of this document, FTF closure documentation includes: (1) Performance Assessment for the F-Tank Farm at the Savannah River Site (hereafter referred to as the FTF PA) (SRS-REG-2007-00002), (2) Basis for Section 3116 Determination for Closure of F-Tank Farm at the Savannah River Site (DOE/SRS-WD-2012-001), (3) Tier 1 Closure Plan for the F-Area Waste Tank Systems at the Savannah River Site (SRR-CWDA-2010-00147), (4) F-Tank Farm Tanks 18 and 19 DOE Manual 435.1-1 Tier 2 Closure Plan Savannah River Site (SRR-CWDA-2011-00015), (5) Industrial Wastewater Closure Module for the Liquid Waste Tanks 18 and 19 (SRRCWDA-2010-00003), and (6) Tank 18/Tank 19 Special Analysis for the Performance Assessment for the F-Tank Farm at the Savannah River Site (hereafter referred to as the Tank 18/Tank 19 Special Analysis) (SRR-CWDA-2010-00124). Note that the first three FTF closure documents listed apply to the entire FTF, whereas the last three FTF closure documents listed are specific to Tanks 18 and 19. These two waste tanks are expected to be the first two tanks to be grouted and operationally closed under the current suite of FTF closure documents and many of the assumptions and approaches that apply to these two tanks are also applicable to the other FTF waste tanks and operational closure processes.

Hommel, S.; Fountain, D.

2012-03-28T23:59:59.000Z

428

The influence of animal mobility on the assumption of uniform distances in aerial line transect surveys  

E-Print Network (OSTI)

for estimating animal density from aerial surveys. Analysis of line transect distance data usually relies test evidence for non- uniformity using double-observer distance data from two aerial surveys of five in Queensland. Key words: aerial surveys, double platform distance sampling, independent observers, responsive

Buckland, Steve

429

On multi-column foreign key discovery  

Science Conference Proceedings (OSTI)

A foreign/primary key relationship between relational tables is one of the most important constraints in a database. From a data analysis perspective, discovering foreign keys is a crucial step in understanding and working with the data. Nevertheless, ...

Meihui Zhang; Marios Hadjieleftheriou; Beng Chin Ooi; Cecilia M. Procopiuc; Divesh Srivastava

2010-09-01T23:59:59.000Z

430

Proactive key management protocol for multicast services  

Science Conference Proceedings (OSTI)

A group key management is essential scheme guaranteeing data confidentiality in multicast. To provide the strict secrecy in group communication, the rekeying delay has to be minimized. In this paper, we propose a new group key management protocol, called ...

Dong-Hyun Je; Seung-Woo Seo

2009-06-01T23:59:59.000Z

431

Cryptographic Key Managment Workshop 2012-A Draft ...  

Science Conference Proceedings (OSTI)

... Specify the key generation methods used • Specify the random number generators used • Specify ... primary and backup facilities ...

2012-09-11T23:59:59.000Z

432

Group-Based Authentication and Key Agreement  

Science Conference Proceedings (OSTI)

This paper presents an authentication and key agreement protocol to streamline communication activities for a group of mobile stations (MSs) roaming from the same home network (HN) to a serving network (SN). In such a roaming scenario, conventional schemes ... Keywords: Authentication and key agreement, Group key, Roaming, Security, Wireless network

Yu-Wen Chen; Jui-Tang Wang; Kuang-Hui Chi; Chien-Chao Tseng

2012-02-01T23:59:59.000Z

433

Assessment of Gasification-Based Biorefining at Kraft Pulp and Paper Mills in the United States, Part A: Background and Assumptions  

Science Conference Proceedings (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

434

DOE M 200.1-1 Chapter 9, Public Key Cryptography and Key Management  

Directives, Delegations, and Requirements

The use and management of certificate-based public key cryptography for the Department of Energy (DOE) requires the establishment of a public key ...

2000-02-15T23:59:59.000Z

435

50-year-old assumptions about strength muscled aside | Argonne National  

NLE Websites -- All DOE Office Websites (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

436

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.

437

Standard assumptions and methods for solar heating and cooling systems analysis  

DOE Green Energy (OSTI)

A set of inputs, assumptions, analytical methods, and a reporting format is presented to help compare the results of residential and commercial solar system analyses being performed by different investigators. By the common use of load data, meteorological data, economic parameters, and reporting format, researchers examining, for example, two types of collectors may more easily compare their results. For residential heating and cooling systems, three locations were selected. The weather data chosen to characterize these cities are the Typical Meteorological Year (TMY). A house for each location was defined that is typical of new construction in that locale. Hourly loads for each location were calculated using a computerized load model that interacts with the system specified inputs characterizing each house. Four locations for commercial cooling analyses were selected from among the existing sites for which TMYs were available. A light commercial (nominal 25-ton cooling load) office building was defined and is used in all four locations. Hourly cooling and heating loads were computed for each city and are available on magnetic tape from the Solar Energy Research Insititute (SERI).

Leboeuf, C.M.

1980-01-01T23:59:59.000Z

438

What are the Starting Points? Evaluating Base-Year Assumptions in the Asian Modeling Exercise  

SciTech Connect

A common feature of model inter-comparison efforts is that the base year numbers for important parameters such as population and GDP can differ substantially across models. This paper explores the sources and implications of this variation in Asian countries across the models participating in the Asian Modeling Exercise (AME). Because the models do not all have a common base year, each team was required to provide data for 2005 for comparison purposes. This paper compares the year 2005 information for different models, noting the degree of variation in important parameters, including population, GDP, primary energy, electricity, and CO2 emissions. It then explores the difference in these key parameters across different sources of base-year information. The analysis confirms that the sources provide different values for many key parameters. This variation across data sources and additional reasons why models might provide different base-year numbers, including differences in regional definitions, differences in model base year, and differences in GDP transformation methodologies, are then discussed in the context of the AME scenarios. Finally, the paper explores the implications of base-year variation on long-term model results.

Chaturvedi, Vaibhav; Waldhoff, Stephanie; Clarke, Leon E.; Fujimori, Shinichiro

2012-12-01T23:59:59.000Z

439

Quantum Key Distribution Protocol with User Authentication  

E-Print Network (OSTI)

We propose a quantum key distribution protocol with quantum based user authentication. User authentication is executed by validating the correlation of GHZ states. Alice and Bob can distribute a secure key using the remaining GHZ states after authentication. This secret key does not leak even to the arbitrator by the properties of the entanglement. We will show that our protocol is secure against the cloning attack.

Lee, H; Lee, D; Lim, J; Yang, H J; Lee, Hwayean; Lee, Sangjin; Lee, Donghoon; Lim, Jongin; Yang, HyungJin

2005-01-01T23:59:59.000Z

440

New Quantum Key System Combines Speed, Distance  

Science Conference Proceedings (OSTI)

... a prototype high-speed quantum key distribution (QKD) system ... a theoretically unbreakable “one-time pad” encryption, transmission and decryption ...

2013-07-08T23:59:59.000Z

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

Nanomechanics: New Test Measures Key Properties of ...  

Science Conference Proceedings (OSTI)

Nanomechanics: New Test Measures Key Properties of ... Tests using the wrinkle-crack method, however, show ... to the longest duration tested, 10 days ...

2012-10-18T23:59:59.000Z

442

CODATA Key Values for Thermodynamics - TMS  

Science Conference Proceedings (OSTI)

Feb 8, 2007 ... This site includes internationally agreed upon values for thermodynamic properties of key chemical substances established by the Committee ...

443

Design and Analysis of Key Comparisons  

Science Conference Proceedings (OSTI)

... new methods, and make statistically best practices available ... to Key Comparisons such as data reporting and ... In the big picture, with the lowering ...

2010-11-18T23:59:59.000Z

444

Cryptographic Key Management Workshop 2009 - A Holistic ...  

Science Conference Proceedings (OSTI)

... policies Board of Directors CEO Protect critical data CSO/CISO CIO We aren't ... Encrypted Database Management Encrypted Tape Key Management ...

2012-05-07T23:59:59.000Z

445

Quantum key distribution network with wavelength addressing  

E-Print Network (OSTI)

Most traditional applications of quantum cryptography are point-to-point communications, in which only two users can exchange keys. In this letter, we present a network scheme that enable quantum key distribution between multi-user with wavelength addressing. Considering the current state of wavelength division multiplexing technique, dozens or hundreds of users can be connected to such a network and directly exchange keys with each other. With the scheme, a 4-user demonstration network was built up and key exchanges were performed.

Mo, X F; Han, Z F; Xu, F X; Zhang, T; Guo, Guang-Can; Han, Zheng-Fu; Mo, Xiao-Fan; Xu, Fang-Xing; Zhang, Tao

2006-01-01T23:59:59.000Z

446

Schedules of Key Environmental Impact Statements  

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

This document graphically displays the milestone dates and projected schedules of key Environmental Impact Statements (updated monthly). This chart represents anticipated activity and is not a...

447

BIASED RANDOM-KEY GENETIC ALGORITHMS WITH ...  

E-Print Network (OSTI)

Handbook of Metaheuristics. Kluwer. Academic Publishers, 2003. J.F. Gonçalves and M.G.C. Resende. Biased random-key genetic algorithms for combinatorial ...

448

Two key questions about color superconductivity.  

E-Print Network (OSTI)

??We pose two key questions about color superconductivity: What are the effects of the large strange quark mass, and what are the observable consequences of… (more)

Kundu, Joydip, 1977-

2004-01-01T23:59:59.000Z

449

Comment on "Quantum dense key distribution"  

E-Print Network (OSTI)

In this Comment we question the security of recently proposed by Degiovanni et al. [Phys. Rev. A 69 (2004) 032310] scheme of quantum dense key distribution.

Antoni Wojcik

2004-05-07T23:59:59.000Z

450

Identity-based authenticated asymmetric group key agreement protocol  

Science Conference Proceedings (OSTI)

In identity-based public-key cryptography, an entity's public key can be easily derived from its identity. The direct derivation of public keys in identity-based public-key cryptography eliminates the need for certificates and solves certain public key ... Keywords: asymmetric group key agreement, bilinear map, group key agreement, identity-based public-key cryptography

Lei Zhang; Qianhong Wu; Bo Qin; Josep Domingo-Ferrer

2010-07-01T23:59:59.000Z

451

General quantum key distribution in higher dimension  

E-Print Network (OSTI)

We study a general quantum key distribution protocol in higher dimension. In this protocol, quantum states in arbitrary g+1 (1?g?d) out of all d+1 mutually unbiased bases in a d-dimensional system can be used for the key ...

Shi, Han-Duo

452

Robust key extraction from physical uncloneable functions  

Science Conference Proceedings (OSTI)

Physical Uncloneable Functions (PUFs) can be used as a cost-effective means to store key material in an uncloneable way. Due to the fact that the key material is obtained by performing measurements on a physical system, noise is inevitably present in ... Keywords: authentication, challenge-response pair, error correction, noise, physical uncloneable function, speckle pattern

B. Škori?; P. Tuyls; W. Ophey

2005-06-01T23:59:59.000Z

453

Fuel Cell Technologies Office: Key Activities  

NLE Websites -- All DOE Office Websites (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

454

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

455

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

456

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.

Darimont, Daniel E. (Aurora, IL)

1995-01-01T23:59:59.000Z

457

Anti-counterfeiting, key distribution, and key storage in an ambient world via physical unclonable functions  

Science Conference Proceedings (OSTI)

Virtually all applications which provide or require a security service need a secret key. In an ambient world, where (potentially) sensitive information is continually being gathered about us, it is critical that those keys be both securely deployed ... Keywords: Fuzzy extractor, Helper data algorithm, Intrinsic PUF, Key distribution, LC-PUFs, Physical unclonable functions, SRAMs, Sensor nodes

Jorge Guajardo; Boris Škori?; Pim Tuyls; Sandeep S. Kumar; Thijs Bel; Antoon H. Blom; Geert-Jan Schrijen

2009-03-01T23:59:59.000Z

458

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

459

Password based key exchange with mutual authentication  

Science Conference Proceedings (OSTI)

A reasonably efficient password based key exchange (KE) protocol with provable security without random oracle was recently proposed by Katz, et al. [17] and later by Gennaro and Lindell [13]. However, these protocols do not support mutual authentication ...

Shaoquan Jiang; Guang Gong

2004-08-01T23:59:59.000Z

460

Cryptographic Key Management Project - Comments on the ...  

Science Conference Proceedings (OSTI)

... planned digital signature lifetime (based on the key strength ... Will the CAVP provide a standalone DH test that ... for about an eighth of the cost of 2.5 ...

2012-05-07T23:59:59.000Z

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

Two key questions about color superconductivity  

E-Print Network (OSTI)

We pose two key questions about color superconductivity: What are the effects of the large strange quark mass, and what are the observable consequences of color superconductivity? Motivated by the first question, we study ...

Kundu, Joydip, 1977-

2004-01-01T23:59:59.000Z

462

Some key Y-12 General Foremen remembered  

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

expanded from K-25 to Y-12 and X-10, they brought their management style with them. Clark Center was a key individual. Clark Center Park, still known by old timers as "Carbide...

463

Jurisdiction Members Contact Info Key Staffers  

E-Print Network (OSTI)

Relevant Jurisdiction Members Contact Info Key Staffers House Science, Space, and Technology, aeronautics, civil aviation, environment, and marine science · America COMPETES · Energy labs · National Science Foundation, including NCAR · National Aeronautics and Space Administration · National Weather

464

Quantum Key Distribution Using Quantum Faraday Rotators  

E-Print Network (OSTI)

We propose a new quantum key distribution (QKD) protocol based on the fully quantum mechanical states of the Faraday rotators. The protocol is unconditionally secure against eavesdropping for single-photon source on a noisy environment and robust against impersonation attacks. It also allows for unconditionally secure key distribution for multiphoton source up to two photons. The protocol could be implemented experimentally with the current spintronics technology on semiconductors.

Choi, T; Choi, Mahn-Soo; Choi, Taeseung

2006-01-01T23:59:59.000Z

465

Multipartite secret key distillation and bound entanglement  

Science Conference Proceedings (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

466

High Efficient Secret Key Distillation for Long Distance Continuous Variable Quantum Key Distribution  

E-Print Network (OSTI)

The continuous variable quantum key distribution is expected to provide high secret key rate without single photon source and detector, but the lack of the secure and effective key distillation method makes it unpractical. Here, we present a secure single-bit-reverse-reconciliation protocol combined with secret information concentration and post-selection, which can distill the secret key with high efficiency and low computational complexity. The simulation results show that this protocol can provide high secret key rate even when the transmission fiber is longer than 150km, which may make the continuous variable scheme to outvie the single photon one.

Yi-bo Zhao; Zheng-fu Han; Jin-jian Chen; You-zhen Gui; Guang-can Guo

2006-03-08T23:59:59.000Z

467

Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: “Mobile Electricity” technologies and opportunities  

E-Print Network (OSTI)

Table 2-5 presents the cost per kWh produced by variousHybrid battery module cost per kWh required for lifecycleelectricity rates on a cost per kWh basis only with some

Williams, Brett D; Kurani, Kenneth S

2007-01-01T23:59:59.000Z

468

Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: “Mobile Electricity” technologies and opportunities  

E-Print Network (OSTI)

to produce clean, quiet electrical power for purposes otherHEVWG), led by the Electrical Power Research Institute (section), as well as if electrical power, flowing along the

Williams, Brett D; Kurani, Kenneth S

2007-01-01T23:59:59.000Z

469

Ohio's first ethanol-fueled light-duty fleet: Clean cities alternative fuel information series case study  

DOE Green Energy (OSTI)

In 1996, the State of Ohio established a project to demonstrate the effectiveness of ethanol as an alternative to gasoline in its fleet operations. All vehicles in the study were 1996 model year Ford Tauruses: ten were flexible-fuel vehicles (FFVs) and three were standard gasoline models. Overall, the State of Ohio's staff has been pleased with the Taurus FFVs. The vehicles perform well and meet the operators' needs.

Whalen, P.

1999-05-21T23:59:59.000Z

470

Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: “Mobile Electricity” technologies and opportunities  

E-Print Network (OSTI)

combustion Prius, Eco Fuel CNG Hybrid Escape, and Solara methanol vehicle, and a CNG vehicle. The participants werewas predominately the CNG vehicle. The authors explain the

Williams, Brett D; Kurani, Kenneth S

2007-01-01T23:59:59.000Z

471

Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: “Mobile Electricity” technologies and opportunities  

E-Print Network (OSTI)

and vehicular-distributed-generation model to estimate zero-power, Vehicular distributed generation, Household marketdistributed generation .25

Williams, Brett D; Kurani, Kenneth S

2007-01-01T23:59:59.000Z

472

Ohio's first ethanol-fueled light-duty fleet: Clean cities alternative fuel information series case study  

SciTech Connect

In 1996, the State of Ohio established a project to demonstrate the effectiveness of ethanol as an alternative to gasoline in its fleet operations. All vehicles in the study were 1996 model year Ford Tauruses: ten were flexible-fuel vehicles (FFVs) and three were standard gasoline models. Overall, the State of Ohio's staff has been pleased with the Taurus FFVs. The vehicles perform well and meet the operators' needs.

Whalen, P.

1999-05-21T23:59:59.000Z

473

Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: “Mobile Electricity” technologies and opportunities  

E-Print Network (OSTI)

status, gender, and age), vehicle type (energy storage andstatus, gender, and age), vehicle type (energy storage and

Williams, Brett D; Kurani, Kenneth S

2007-01-01T23:59:59.000Z

474

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

475

Ethanol Blends and Engine Operating Strategy Effects on Light-Duty Spark-Ignition Engine Particle Emissions  

Science Conference Proceedings (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

476

Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: “Mobile Electricity” technologies and opportunities  

E-Print Network (OSTI)

Toyota and Ford Hybrids," in Green Car Congress, 21 Februaryplant using idle hybrid airport-rental cars to provide localengine (ICE) hybrids in airport-rental-car and other

Williams, Brett D; Kurani, Kenneth S

2007-01-01T23:59:59.000Z

477

Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: “Mobile Electricity” technologies and opportunities  

E-Print Network (OSTI)

learned from natural gas for vehicles," Energy Policy, vol.learned from natural gas for vehicles." Energy Policy 30(7):Policy, Flynn, the former president of Canadian firm CNG Fuel Systems discusses lessons from compressed-natural-gas-

Williams, Brett D; Kurani, Kenneth S

2007-01-01T23:59:59.000Z

478

Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: “Mobile Electricity” technologies and opportunities  

E-Print Network (OSTI)

Economic Implications of Net Metering for Stationary andEconomic Implications of Net Metering for Stationary andEconomic Implications of Net Metering for Stationary and

Williams, Brett D; Kurani, Kenneth S

2007-01-01T23:59:59.000Z

479

Exploring the use of a higher octane gasoline for the U.S. light-duty vehicle fleet  

E-Print Network (OSTI)

This thesis explores the possible benefits that can be achieved if U.S. oil companies produced and offered a grade of higher-octane gasoline to the consumer market. The octane number of a fuel represents how resistant the ...

Chow, Eric W

2013-01-01T23:59:59.000Z

480

Quantifying the Effects of Idle-Stop Systems on Fuel Economy in Light-Duty Passenger Vehicles  

SciTech Connect

Vehicles equipped with idle-stop (IS) systems are capable of engine shut down when the vehicle is stopped and rapid engine re-start for the vehicle launch. This capability reduces fuel consumption and emissions during periods when the engine is not being utilized to provide propulsion or to power accessories. IS systems are a low-cost and fast-growing technology in the industry-wide pursuit of increased vehicle efficiency, possibly becoming standard features in European vehicles in the near future. In contrast, currently there are only three non-hybrid vehicle models for sale in North America with IS systems and these models are distinctly low-volume models. As part of the United States Department of Energy’s Advanced Vehicle Testing Activity, ECOtality North America has tested the real-world effect of IS systems on fuel consumption in three vehicle models imported from Europe. These vehicles were chosen to represent three types of systems: (1) spark ignition with 12-V belt alternator starter; (2) compression ignition with 12-V belt alternator starter; and (3) direct-injection spark ignition, with 12-V belt alternator starter/combustion restart. The vehicles have undergone both dynamometer and on-road testing; the test results show somewhat conflicting data. The laboratory data and the portion of the on-road data in which driving is conducted on a prescribed route with trained drivers produced significant fuel economy improvement. However, the fleet data do not corroborate improvement, even though the data show significant engine-off time. It is possible that the effects of the varying driving styles and routes in the fleet testing overshadowed the fuel economy improvements. More testing with the same driver over routes that are similar with the IS system-enabled and disabled is recommended. There is anecdotal evidence that current Environmental Protection Agency fuel economy test procedures do not capture the fuel economy gains that IS systems produce in real-world driving. The program test results provide information on the veracity of these claims.

Jeff Wishart; Matthew Shirk

2012-12-01T23:59:59.000Z

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.


481

Assessing the viability of compressed natural gas as a transportation fuel for light-duty vehicles in the United States.  

E-Print Network (OSTI)

??Recent optimistic revisions to projections for recoverable natural gas resources in the United States have generated renewed interest in the possibility of greater utilization of… (more)

Kennedy, Castlen Moore

2011-01-01T23:59:59.000Z

482

Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: “Mobile Electricity” technologies and opportunities  

E-Print Network (OSTI)

and S. E. Letendre, "Electric Vehicles as a New Power Sourceassessment for fuel cell electric vehicles." Argonne, Ill. :at 20th International Electric Vehicle Symposium (EVS-20),

Williams, Brett D; Kurani, Kenneth S

2007-01-01T23:59:59.000Z

483

Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: “Mobile Electricity” technologies and opportunities  

E-Print Network (OSTI)

H 2 FCVs, plug- in hybrids, and vehicle-to-grid (V2G) power.markets using primarily hybrid vehicles in fleet and otherin hybrid, Plug-out hybrid, Vehicle-to-grid power, Vehicular

Williams, Brett D; Kurani, Kenneth S

2007-01-01T23:59:59.000Z

484

Alternative Fuel Evaluation Program: Alternative Fuel Light Duty Vehicle Project - Data collection responsibilities, techniques, and test procedures  

DOE Green Energy (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.

Not Available

1992-07-01T23:59:59.000Z

485

Alternative Fuel Evaluation Program: Alternative Fuel Light Duty Vehicle Project - Data collection responsibilities, techniques, and test procedures  

DOE Green Energy (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.

Not Available

1992-07-01T23:59:59.000Z

486

Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: “Mobile Electricity” technologies and opportunities  

E-Print Network (OSTI)

Plug-in Hybrid Kits for Toyota and Ford Hybrids," in Greenfactsheet.pdf, 2006. J. Rosebro, "Toyota Ratchets Up Plug-InCongress, 23 April ed, 2006. "Toyota to Unveil Prius with

Williams, Brett D; Kurani, Kenneth S

2007-01-01T23:59:59.000Z

487

Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: “Mobile Electricity” technologies and opportunities  

E-Print Network (OSTI)

Toyota Ratchets Up Plug-In Prius Talk," in Green Cared, 2006. "Toyota to Unveil Prius with Large Auxiliary Powerfive, including several Prius conversions in various stages

Williams, Brett D; Kurani, Kenneth S

2007-01-01T23:59:59.000Z

488

Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: “Mobile Electricity” technologies and opportunities  

E-Print Network (OSTI)

includes “car-company” battery cost estimates, scaled toas the desire to keep battery cost, and thus size, down isjustify current marginal battery costs. So, too, might there

Williams, Brett D; Kurani, Kenneth S

2007-01-01T23:59:59.000Z

489

Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: “Mobile Electricity” technologies and opportunities  

E-Print Network (OSTI)

device to compressed-natural-gas-vehicle consumers. ) TheZealand’s use of compressed-natural-gas (CNG) and liquefied-discusses lessons from compressed-natural-gas-vehicle (NGV)

Williams, Brett D; Kurani, Kenneth S

2007-01-01T23:59:59.000Z

490

Effect of Biodiesel Blending on the Speciation of Soluble Organic Fraction from a Light Duty Diesel Engine  

DOE Green Energy (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; Storey, John Morse [ORNL; Lewis Sr, Samuel Arthur [ORNL; Daw, C Stuart [ORNL; Foster, Prof. Dave [University of Wisconsin; Rutland, Prof. Christopher J. [University of Wisconsin

2010-01-01T23:59:59.000Z

491

Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: “Mobile Electricity” technologies and opportunities  

E-Print Network (OSTI)

Early Markets for Hybrid Electric Vehicles," University ofof Plug-In Hybrid Electric Vehicles on Wind Energy Markets,"Power Assist Hybrid Electric Vehicles, and Plug-In Hybrid

Williams, Brett D; Kurani, Kenneth S

2007-01-01T23:59:59.000Z

492

Commercializing light-duty plug-in/plug-out hydrogen-fuel-cell vehicles: “Mobile Electricity” technologies and opportunities  

E-Print Network (OSTI)

goals for automotive fuel cell power systems hydrogen vs.a comparative assessment for fuel cell electric vehicles."plug-out hydrogen-fuel- cell vehicles: “Mobile Electricity"

Williams, Brett D; Kurani, Kenneth S

2007-01-01T23:59:59.000Z

493

NIST Special Publication 800-57, Recommendation for Key ...  

Science Conference Proceedings (OSTI)

... keying material from key backup or archive. ... term “random number generator” (RNG) is ... Deterministic Random Bit Generators (DRBGs), sometimes ...

2012-07-10T23:59:59.000Z

494

ITL Bulletin Generating Secure Cryptographic Keys: A Critical ...  

Science Conference Proceedings (OSTI)

... KEYS: A CRITICAL COMPONENT OF CRYPTOGRAPHIC ... relies upon two basic components: an algorithm (or ... and of keys for symmetric algorithms. ...

2013-04-16T23:59:59.000Z

495

A secure multiple-agent cryptographic key recovery system  

Science Conference Proceedings (OSTI)

Symmetric cryptography uses the same session key for message encryption and decryption. Without having it, the encrypted message will never be revealed. In case the session key is unavailable or government authorities need to inspect suspect messages, ... Keywords: key recovery, key recovery agent, key recovery center, secret sharing, session key

Kanokwan Kanyamee; Chanboon Sathitwiriyawong

2009-08-01T23:59:59.000Z

496

STGWG Key Outcomes for May 3, 2010  

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

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

497

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

498

Public key infrastructure for DOE security research  

SciTech Connect

This document summarizes the Department of Energy`s Second Joint Energy Research/Defence Programs Security Research Workshop. The workshop, built on the results of the first Joint Workshop which reviewed security requirements represented in a range of mission-critical ER and DP applications, discussed commonalties and differences in ER/DP requirements and approaches, and identified an integrated common set of security research priorities. One significant conclusion of the first workshop was that progress in a broad spectrum of DOE-relevant security problems and applications could best be addressed through public-key cryptography based systems, and therefore depended upon the existence of a robust, broadly deployed public-key infrastructure. Hence, public-key infrastructure ({open_quotes}PKI{close_quotes}) was adopted as a primary focus for the second workshop. The Second Joint Workshop covered a range of DOE security research and deployment efforts, as well as summaries of the state of the art in various areas relating to public-key technologies. Key findings were that a broad range of DOE applications can benefit from security architectures and technologies built on a robust, flexible, widely deployed public-key infrastructure; that there exists a collection of specific requirements for missing or undeveloped PKI functionality, together with a preliminary assessment of how these requirements can be met; that, while commercial developments can be expected to provide many relevant security technologies, there are important capabilities that commercial developments will not address, due to the unique scale, performance, diversity, distributed nature, and sensitivity of DOE applications; that DOE should encourage and support research activities intended to increase understanding of security technology requirements, and to develop critical components not forthcoming from other sources in a timely manner.

Aiken, R.; Foster, I.; Johnston, W.E. [and others

1997-06-01T23:59:59.000Z

499

Nonorthogonal decoy-state Quantum Key Distribution  

E-Print Network (OSTI)

In practical quantum key distribution (QKD), weak coherent states as the photon sources have a limit in secure key rate and transmission distance because of the existence of multiphoton pulses and heavy loss in transmission line. Decoy states method and nonorthogonal encoding protocol are two important weapons to combat these effects. Here, we combine these two methods and propose a efficient method that can substantially improve the performance of QKD. We find a 79 km increase in transmission distance over the prior record using decoy states method.

Li, J B; Li, Jing-Bo; Fang, Xi-Ming

2005-01-01T23:59:59.000Z

500

Complementarity, distillable secret key, and distillable entanglement  

E-Print Network (OSTI)

We consider controllability of two conjugate observables Z and X by two parties with classical communication. The ability is specified by two alternative tasks, (i) agreement on Z and (ii) preparation of an eigenstate of X with use of an extra communication channel. We prove that their feasibility is equivalent to that of key distillation if the extra channel is quantum, and to that of entanglement distillation if it is classical. This clarifies the distinction between two entanglement measures, distillable key and distillable entanglement.

Masato Koashi

2007-04-27T23:59:59.000Z

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